Thursday, 6 February 2014

Learning to trace in 25 days



Intro

Tracing of Christine and Ant
In December my wife suddenly turns to me and says 'do you want to abstain from alcohol in January and raise money for Mind?' I looked at her with my best Paddington stare as I processed the question. Of course, I could do such a thing, easily. In fact I was so certain that I could, the whole venture seemed, somewhat pointless - just a lot of trouble really. But it was apparent that it wouldn't cut the mustard to proclaim 'of course I could, there's no point in even considering it'. I knew I'd have to, if only to prove I'm not a dependent. So I said with a sigh "Oh, alright then".

Thus it was, I came to have a little more time on my hands. So throughout January 2014 I found my self spending a lot of time doodling on my iPhone with an App called Adobe Ideas. This app allows you to load a photograph as a base to draw against, which can later be removed. A tracing app in fact. I found myself learning to draw round things. I'm not actually very good at drawing as perhaps my very first sketch (shown here) will testify.

Validity

These early sketches are without question really very badly executed. This is pretty poor considering they're only tracings. I really am that bad at drawing. But they do have a certain charm and humour to them, so I persevered - secretly enjoying the enterprise even though it was kind of childish in its execution. I posted them up on my Facebook 'wall' and they attracted a steady stream of 'likes' - enough to spur me on (you should know, I never need very much encouragement to act childishly). By the fifth sketch I got 13 likes and 11 comments with people actually asking to be my next victim.

So I thought, perhaps there is some 'artistic merit' in exercising this simple mechanical skill. The thought sat uncomfortably with me - in the same way as I'm not too keen on taking photographs of graffiti. It seems like all you're doing is ripping off someone else's creative vision - unless you somehow bring something new to the story.

Joy & Donations

So the next thing I did was to post a status update offering to provide a sketch for anyone who felt like being visually insulted. That posting brought 24 willing victims forward with requests like:

Go on then. I'll be your next guinea pig (victim)
I do Ant. Need a laugh x
Do your worst mate.
but you gotta find a really bad picture of me..
fuck yes.
My ego craves it.
memememememe!! I wanna HATE the results!!
oh yeah! She says nervously...
Make me hate myself.


I did as many of these as I possibly could, but there were so many of them coming at me so thick and so fast that I felt I was back in India surrounded by beggars smothering me in respect and honour. I had to close the offer, but still the requests kept coming. It got really quite intense. On the 7th of January alone I did 9 sketches (well tracings) of folk. And you know, they were actually improving.

On the 10th, 1/3rd of the way through the month I reminded everyone I was going dry and raising money for Mind. I repeated my offer to sketch folk, but this time in return for a donation. I raised well over £20 for Mind by doing not-totally-crap sketches of people. That's a good thing.

So while struggling philosophically with the idea there may (or may not) be any artistic merit in drawing round things dozens of people were queuing up for a turn, sharing good-willed banter and donating money to a worthy charity. That sealed it really, I was definitely learning something of worth and value here.

Juxtapositions and Transitionals

But as the skill improved the raw charm of the early pieces was certainly diminished, so I started to think about how I could make this mechanical skill of tracing a valid expressive form going forward. I think there's a few key approaches that mean a tracing can be considered a valid new work, despite being inherently based on some pre-existing work. I.e.:

- by derivation; once the tracing is complete it can be adapted by adding entirely imaged components. In fact this is exactly what I did in my very first attempt ("Hello Humans"), by adding the body to the character on the right.

- by juxtaposing tracings of different things that cannot, or do not, occur together; the components of the resulting image are 'mere mechanical copies' of some other work but the overall piece is unquestionably a new message, story, artwork. The image of a spaceman (from a photo in the Science Museum) and post box (from a snap taking on route to work) is a striking example.



- by origination, creating the base image to be traced, specifically for the tracing not as a completed work in its own right, the tracing becomes the prima facie artwork. In the 'tube commute' example here the originating photograph was of poor quality and in itself intrinsically uninteresting. The tracing lends a quality of abstraction that helps cohere the composition. In essence, an image that works as a tracing but which does not work as a photograph.

- by control of detail; the conscious decisions of exactly which lines to put into the tracing and which to leave out. As the tracings become more and more detailed these decisions represent the 'zen' of the process and the tracer knows internally whether the result validly represents a genuinely new take on the artwork, or not.



So the process of tracing involves conscious compositional and narrative decisions, pure joy and unquestionable communication - all facets of successful artistic endeavour. Thus I was happy this childish skill is worth all of the effort it takes to execute and does represent a valid artistic endeavour. That's when I became obsessive in the execution.

Art & Obsession

I have long thought that good art involves deep obsession. For a time an artwork has to consume you with intense concentration to the exclusion of other concerns - be that an hour or a year. If the work fails to achieve that in the artist during execution, then what hope does it really have to engage anyone else? Certainly this belief is borne out in my later tracing works.

All these works have been produced by finger-tracing on a tiny iPhone screen. The concentration is somewhat excessive (note to reader, the iPad version of the app certainly makes life a lot easier).

To really exercise the mechanical skill, whilst working through the foregoing philosophical questions, I started working with highly complex multi-figure scenes, famous classical art works and finely detailed insects. All of this culminated in a sketch comprising 43 individual scenes:





Having produced this 'opus' in around 8 hours I sat back and considered the work of the past 25 days which amounted to just over 50 sketches - the full series cn be viewed here: http://www.youtube.com/watch?v=FWqUXarFoSQ


I firmly believe that I've learnt both a new skill and a new (to me) form of artistic expression in a little under a month. Proof perhaps that you can teach an old dog new tricks. For the last word on the 'validity' question, look-out for issue 9 of The Black Light Engine Room; not only is it a great poetry anthology magazine but this issue's covers are examples of my sketching. Which is nice.

Oh, and Dennis Just Dennis (Poet) is using one in his upcoming book. which is also nice. Very nice.

Oh, and with my team of fellow abstainers (Christine, Calm Carl and Sarah-Jane) we raised well over £600 for Mind. A good dry January.

Thursday, 26 December 2013

Correcting Scale After Perspective Adjustment

Introduction

When photographing buildings it is common to have to tilt the camera upwards in order to fit the top of the building into frame. This of course causes the verticals to converge, as in this example.

This can be used to good dramatic effect, but usually it is an unwanted side-effect of the camera to subject geometry. By stretching the top of the image (using, say, the perspective adjustment transformation in PhotoShop) the verticals can be restored.

This is a definite improvement, but now the image looks 'squat'. It needs stretching vertically to restore the natural proportions of the windows and the people.

Obviously this 'foreshortening' effect is more readily apparent with some subjects than others. It is nevertheless worth understanding the effect so that the image's deviation from reality is under the control of the photographer, not the equipment.


This final version of the street scene has been vertically stretched by 35%, but without obvious reference points (such as circles and squares) how can we know after the fact what the appropriate proportions are. We can achieve something aesthetically pleasing 'by eye' but minor geometric errors can leave an image somewhat disquieting. Fine photography often relies on the cumulative effect of many, individually indiscernible, tweaks. Relying on adjustments judged 'by eye' alone risks sacrificing the final image quality.

So here, I am investigating the relationship between the degree of perspective correction and the degree of stretch the resulting image requires.

Investigation

For this investigation I need a subject of known geometry, so I drew up a shooting target consisting of a grid of 2.5cm squares with a large circle overlaid. This I placed almost parallel to a camera sensor and I took a series of shots at increasing angles of recline.


I then followed the following method for each of the 8 shots.

First the original shot is duplicated onto a new layer and a perspective adjustment applied to correct the converging verticals. This layer was coloured yellow on black (using a Photo Filter layer adjustment) and set to layer blending mode 'difference' – so that it can be seen in comparison with the original shot.






Secondly the degree of adjustment was determined. By taking one of the adjusted verticals compared to its original placement a right-angle triangle can be prescribed. The ruler's units were set to display pixels and the magnification was set to actual size. In this way the length of the opposite and adjacent sides of the triangle could be measured. The Degree of adjustment (A) is then given by:

    Tan(A) = opposite/adjacent





Thirdly, looking only at the perspective adjusted layer the foreshortening of the circle is clearly apparent. By comparing the height to the width a scaling factor for the vertical dimension can be easily determined – i.e. by how much we need to stretch the image to restore the circle that had originally been shot at an angle.




The perspective adjustment layer was duplicated and the calculated sale factor applied. The scaled layer was coloured and blended in a manner similar to that used for the perspective adjustment layer. The comparison of the original as shot (angled circle) and the final image is shown.





The following table shows the measured relationship between angle of perspective adjustment and required scaling:

Angle Of AdjustmentScaling Factor
1.91.03
3.11.1
51.22
61.3
7.41.42
9.71.67
121.97
26.34.55


A least squares regression (LINEST function in Excel) determines a straight line fit for this data of:

    Scaling Factor = 0.092 * Angle + 0.793

Or perhaps more readily helpful, although less accurate:

    Scaling Factor = (Angle + 8)/10

Conclusions

For perspective adjustments of three degrees or more the foreshortening effect is significant.

For adjustments of more than eight degrees the foreshortening is severe. Total recovery may not be advisable as interpolation effects will degrade the final image significantly.

Images that contain objects that have readily recognisable proportions (standard doors, windows, people for example) will suffer from perspective adjustments that are not consequently scaled in the appropriate direction.

Monday, 26 August 2013

The Effect of Perspective Adjustment on Image Quality

Introduction

A 10MP (Mega pixel) sensor will produce images that print at 12"x8" for a 300dpi quality output. This isn't particularly large and although significantly higher resolutions are moving towards affordable (a mere £2k for Nikon's 36MP D800) we are still in a world where every pixel counts.

When shooting digitally there's a temptation to think "I'll fix it in post". If you're capturing RAW files and you get a good histogram in all channels then certainly there's plenty of leeway for working an image up in post-production: but ultimately, you only have the pixels available on the sensor to work with. If you throw pixels away through excessive cropping or perspective adjustment there is no means to re-inject that data. Obviously when stretching an image pixels can be interpolated, but that hardly amounts to re-injecting the basic quality of the sensor cells.

Quality is never a veneer, a thing that can be layered on later in the process. Every step from shutter release to print causes a drop in quality. It is critical then to hang on to every pixel the camera can capture.

Cropping

The composition will be arranged for a specific image shape, perhaps:
  • 3:2 (the native aspect ratio of most sensors)
  • 1:1 (square)
  • 2:1 or 3:1 etc (panorama)
so some percentage of pixels are lost inevitably. When cropping a 3:2 image to any other aspect ratio the worst case will be a loss of 33% of the pixels (1/3rd).  The following table indicates the pixel loss for various 'standard' aspect ratios that abound (and I do recommend cropping to standard ratios rather than to arbitrary shapes.


Apect Ratio Description Pixel Loss ('most' digital sensors)
1:1 Square format, common in Hasselblad and Rollieflex cameras 33%
1:1.4 Aspect ratio of 'A' series papers 7%
2:1 Super wide panoramic (Linhof Technorama cameras) 25%
3:2 Standard 35mm format, typical for most digital cameras -
4:3 Micro 4/3rds digital format, 6x4.5 film format, traditional TV format 11%
5:4 Classic large format camera aspect ratio 17%
7:6 Film format used in Pentax 67 and Mamiya 7II cameras 22%
16:9 Panoramic format, widescreen' TV format 16%


The relationship between these aspect ratios is shown visually in the diagram on the left.

Of course, if you do not follow Kappa's mantra (get close, get closer) you will also be cropping additional dead space from the image. It should be clear then, that it is all too easy to find yourself cropping as much as half of the image after shooting; especially if choosing an 'extreme' aspect ratio (1:1 or 2:1) and also removing a modest amount of dead space. So a 10MP capture can easily become an effective 5MP image.

Perspective Adjustments

However, once an image has been cropped it may then also be 'perspective adjusted', especially for architectural or strong graphic format images. Consider this 'Windows' shot from my 10MP Nikon 1 V1:


This is (almost!) a square format image shot on a 3:2 sensor, so 33% of the pixels have been lost. However I was shooting from pavement level and had no choice but to angle the camera upwards which caused the verticals to converge. I also (unintentionally) skewed the camera slightly. The following image shows the original capture and indicates how far off true vertical and horizontal alignment I was when I took the shot:




There are always three dimensions of alignment to consider. It's difficult to find a standard for naming these so I indicate the most usual photographic term and also the terms used more precisely to describe the attitude of an object around its centre of mass:
  • Is the lens pointing up or down (tilt or pitch)
  • Is the camera base level (rotation or roll)
  • Is the camera back flat-on to the subject (pan or yaw)
In this example I have errors in all three axes, which is apparent by the asymmetry of the skewing of the actual area (green highlight) within the 'ideal' area (red highlight).

This perspective was corrected in Photoshop™ and using simple maths we can calculate the area (green highlight) of pixels used in the final image.

The area of the final image (red highlight) is 2543 * 2360 = 6,001,480

The areas of each of the four triangles that will be cropped are:
  • (2360 * 207) /2 = 244,260
  • (2543 * 118) /2 = 150,037
  • (2360 * 356) /2 = 420,080
  • (2543 * 28) / 2 = 35,602
Which is a total of: 849,979 cropped pixels (which in the perspective adjustment will be replaced by interpolated pixel values. (there's about 5% error in this value since two of the triangles overlap, top right)

So the effective 'real-world' pixels in the final image is (6,001,480 - 849,979) 5151501.
The original full sensor capture contained (3872 * 2592) 10,036,224 pixels. In this case the final image
  • Utilised 51.3% of the pixels captured by the sensor.
  • Cropped 33% of the sensor pixels to achieve the required aspect ratio
  • Cropped 7% of the sensor pixels to remove 'dead space'
  • Cropped 8.7% of the pixels to perform perspective adjustment
Using simple trigonometry (from a convenient on-line calculator) the four angles of error were (clockwise from bottom left): 5 Degrees, 2.7 Degrees, 8.6 Degrees, 0.6 Degrees.

So my 10MP camera delivered a 5MP image and I suffered a 16% drop in quality due to in-the-field limitations and inaccuracies.

Summary

  • Affordable digital cameras do not yet deliver a pixel count that allows high quality suitably sized exhibition prints to be created
  • Working in aspect ratios different to the camera's sensor can result in a significant loss of pixels (33% composing a square format on a Nikon CX sensor)
  • Cropping 'dead space' further exacerbates the pixel loss
  • Perspective adjustments further effect pixel loss
  • Taking all factors into consideration the effective pixel count of an image can easily be half that of the camera sensor
Accurate framing with regards proximity and perspective at time of shooting is materially significant to the end-quality of the image.

Thursday, 15 August 2013

The Mechanics Of The Decisive Moment


In his original book (Images a la sauvette), Henri Cartier-Bresson (HCB) referenced Cardinal de Retz's statement that "There is nothing in this world that does not have a decisive moment". To my mind there is no photograph of worth that does not capture a decisive moment. It is this that gives a still image narrative, and which transforms an image from being a document to being a work of art: for such a moment cannot be captured by instrumentation alone. It requires attention, thought and possibly 'intuition' on the part of the photographer. By demonstrating the impossibility (or extreme unlikelihood) of capturing that moment by instrumentation I intend to add to the argument for photography as art.

HCB himself defined the 'decisive moment' as:

"...the simultaneous recognition, in a fraction of a second, of the significance of an event as well as the precise organization of forms which gives that event its proper expression." 

Here he is emphasising the instantaneous coalescence of the event, or if you will, the intuition of the observer. 'Intuition' is a disturbing term. It conjures concepts of divine intervention, something beyond the consciousness of the practitioner. Well, he came from a time and society that still hung on to mystique and mysticism (he suffered a strong catholic schooling). However, if we can accept intuition as the expression of the subconscious mind then we can still find some value in his idea. The crucial thing is to separate the instantaneous moment of capture from the moment of recognition - our hand need not be guided by god at the moment of taking a photograph (or by the mechanics of a camera's software algorithms). The decisive moment can in fact be foreseen.

So, for me, the decisive moment is nothing more nor less than the precise time at which a composition's narrative intent is best portrayed.

Reading around the subject on internet forums will dredge up the usual cacophony of dogma. There's a lot of argument about being in the right place at the right time and having an element of surprise. Arguments that imbue the process with mysticism, that rob us of the right to break down the process and formulate working practices to improve the chance of success. It is not a matter of luck, or the genius of those with great 'intuition'. It is a matter of understanding, recognition, and preparedness. In photography we make our own good luck.

There are also schools of thought that make the decisive moment a genre, a classification of photography. There are arguments about whether a picture is a 'decisive moment picture' or not. This seems simply futile. All photographs of worth contain within them the four perceivable dimensions of our world: the horizontal and vertical as clearly expressed in the flat image; the depth as represented by the depth of field, the plane of focus and the camera-to-subject geometric effect; and the timing as decided by the instant of exposure. All photographs freeze a moment in time. If that specific moment adequately expresses a narrative then the image is an artistic endeavour. If it does not then the image is either a snapshot or else a documentary record. In the first case the image contains a decisive moment. In the latter it does not.

A good test for a photograph's successful capture of a decisive moment is to ask "why was the image taken at just that time?" If there is a reasonably apparent answer then the image likely contains a sense of narrative.

So what does the decisive moment look like in practice? Here are some examples progressing from longer lasting, to shorter lasting moments:

Examples of the Decisive Moment 

Example 1: Moments That Last - Cocoon 

This cocoon hung from a garden chair for several days with little discernible difference. However, this image has a strong sense of time about it. It clearly represents the cycle of life. It was taken during a particular summer when this variety visited our garden. It was shot at a particular time of day, when the lighting suited. The dogmatists will squeal in uproar that I dare to use the term 'decisive moment' for an image such as this, but I'll do it and be damned because I know that many time based factors coalesced at the moment I took this shot.

Example 2: Moments That Drift - Cranes 

Perhaps using a less controversial application of the term 'decisive moment', this particular arrangement of the clouds between the cranes lasted a few minutes. This reveals an important aspect of decisive moments. They can be foretold, anticipated. The "spontaneous recognition" can occur a good thirty minutes or more before the moment arrives and is captured.

Example 3: Moments That Pass - Trafalgar Square 

In some genres of photography, anticipation seems difficult, particularly anything that encompasses human activity: sports, stage, street... But in fact these activities generally take place within a well-defined boundary (the race track, the stage area, the visible street). By observing action repeatedly within that boundary you quickly come to learn the rhythms of the action, and acquire an ability to anticipate - to select and watch the moment arrive.

Example 4: Moments That Flee - Dan Hunt 

In some regards stage photography is easier than street as the boundary is so much tighter and the mic stand can focus or constrain the performers. But this example of the decisive moment is less about transverse motion and more about attitude and expression. To capture a moment like this it's necessary to observe the subject in order to build up an anticipation of the moment to shoot. At an open mic night performers typically play three pieces each. I will watch the first piece to build up understanding and then shoot during the second and possibly third piece. Because the expression and eye contact is critical to the success of the shot, the duration of the decisive moment is very short - of the order of a second with regards the stance and the hand gesture.

Example 5: Moments That Blink - Woody Bop Muddy 

There's so much waiting to go wrong with this shot. Wait too long and the rice loses its forward trajectory collapsing into an incoherent curtain of rice rain. Shoot too soon and you don’t get the spread and the arm obscures the face. Here, the decisive moment is no more than a fraction of a second.

Duration Of The Decisive Moment 

With regards to capturing them within a two dimensional bounded frame (a picture of finite size), decisive moments have a finite duration. When dealing with things that move longitudinally or latitudinally (or both) through the frame, the duration of the moment is correlated to the size of the moving object (in relation to the frame size) and its speed, within some placement tolerance.

Decisive Moment Duration = Extension * Tolerance / Velocity 

When the moment moves towards the photographer (orthogonal to the plane of the frame) it will have an apparent zero velocity but will exhibit a delta in extension (a change in size). The duration of the decisive moment is correlated to the tolerance we have on that change in size.

Decisive Moment Duration = Delta Extension / Orthogonal Velocity 

When the moment doesn't move in relation to the frame (e.g. is an expression on a stationary person's face) then the duration of the moment is arbitrary, depending on the nature of the subject.

Decisive Moment Duration = Indeterminate 

So, apart from the latter (special) case, the duration of a decisive moment is a factor of the size of the thing moving in relation to the speed of its movement, in the frame - within some acceptable tolerance.

Returning to our earlier examples I will look in more detail at the duration of the moments. In these examples where movement is involved I segment the image so a sense of distance can be determined. I also highlight the acceptable area for placement of the key compositional items.

Example 1:

The decisive moment is not determined by the subject but rather the ambient conditions, and here I assume they are tolerably indifferent over about 15 minutes. The window for this decisive moment is 900s.






Example 2:

The central mass of the cloud which fills approximately 2/15th of the frame and moves across the whole frame in about 900s (I didn't time it however). The frame has been split into 15 strips. It takes about a minute for the cloud to cross each. The cloud could not have been placed any earlier (as it would have fouled the first crane), but could have been placed two strips later. So from the cloud's perspective the window for this decisive moment is 60s. The pigeon (strip 9) is at full wingspan (0.6m) and travelling at perhaps 20kmph (or 5.5m/s, it was a leisurely old bird. Racing pigeons fly on average at 92.5kmph).

The pigeon fills about half of a strip. So each strip at the pigeon's distance from camera will be 1.2m and the distance across frame will be 18m (15*1.2). The pigeon would cross the frame in 3.3s (18m divided by 5.5m/s), crossing each segment in about 0.2s. Compositionally we have 2 segments leeway in the positioning of the pigeon. So from the pigeon's perspective the window for this decisive moment is 0.6s.


Example 3:

The foreground figure fills approximately 1/7th of the frame's width (body only).

The man was walking briskly, about 4mph or 1.8m/s. Average stride for a man is about 1m and we can see his stride covers 1.5 segments. To move completely across the frame, he has to cover 7 segments. So for his distance from the camera he has to take 5 x 1m strides at 1.8m/s, which is 2.8s to completely cross the frame.

Each strip is 2/3rds of a meter and takes 0.37s to cross (2/3rds divided by 1.8m/s). The man is placed in the centre of the third strip. I could have placed him anywhere from the very start to the very end of the third strip, so I had one strip of tolerance in my composition - but, because the woman at the back is also moving I cannot afford to exercise that tolerance. So that makes the decisive moment the time to cross that one strip. The window for this decisive moment is 0.4s.

Example 4:

I said earlier the duration would be around 1s with regards the stance and hand-gesture. Here though the expression is crucial and that is related to the words being spoken. Average speaking rate is around 100wpm to 250wpm for an auctioneer. I know this poet recites quickly and so words are probably changing every 0.3 seconds or so (180wpm), with the expression constantly shifting with them, as is the nature of expressive performance. The window for this decisive moment is 0.3s.





Example 5:

To freeze thrown rice, a shutter speed of about 1/250s is required. Here I used a shutter speed of 1/15th of a second to achieve the blur effect I wanted. At this shutter speed we can see the hand covers two (of the 8) vertical segments that I've split the frame into. The tolerance for the placement of the hand was another two segments (one above and one below its position). The window for this decisive moment is 0.13s.

I am also interested in the spread of the rice. I've indicated the allowable range where the cluster will not foul either of the people in the shot. To my eye the cluster as shot is perfect, covering about 36% of the frame area. The cluster could reasonably have been smaller, covering 16% of the frame (as shown by the inner shaded area). The un-shaded area therefore represents the duration of the decisive moment with regards the rice, 1 (vertical) segment. The window for this decisive moment is 0.07s.


The following table expresses the earlier examples in these terms. Note, for 'action' images the decisive moment duration is given by  Size * Tol * Velocity:


Example
Motion Type
Size
% of frame
Tol.
Velocity
seconds to cross frame
Decisive Moment Duration
1 - Cocoon
None
90%
n/a
0s
900s
2 - Cranes, cloud only
Longitudinal
10%
2
300s
60s
2 - Cranes, with pigeon
Longitudinal
3%
6
3.3s
0.6s
3 - Trafalgar Square
Longitudinal
14%
1
2.8s
0.4s
4 - Dan Hunt
None
25%
n/a
0s
0.3s
5 - Woody Bop Muddy, hand
Latitudinal
25%
2
0.25s
0.13s
5 - Woody Bop Muddy, rice
Orthogonal
36%
1
0.2s
0.07s


So in these examples, with the exception of stationary or slow moving subjects that do not have fleeting changes of expression, the decisive moment has a duration in the range of around 0.4 to 0.1s. With an average human reaction time when concentrating of around 0.15s, the effective decisive moment duration is somewhere between 0 and 0.2 seconds. Let us say that:

on average the decisive moment has a duration of 0.1s. 

Of course there are many forms of subject I have not considered, most especially high-speed action, such as: a kingfisher in flight (20mph); an F1 car (average speed around 100mph); the world's fastest recorded tennis serve (163mph). In these situations the photographer will generally pan which has the effect of prolonging the decisive moment.

Mechanics of Capturing The Decisive Moment 

The main reason that I'm discussing the duration of the decisive moment is to consider how best to capture it. Options for triggering the camera's shutter release are: 
  • Manually, once with anticipation of the moment 
  • Manually with a burst of several high speed shots around the moment 
  • Automatically by employing some form of external sensor trigger 
  • Automatically on a time lapse 
The latter two methods have their place in specialist applications (shooting night creatures as they pass a laser trigger or creating time lapse videos for example) and fall outside the scope of this essay. They may or may not be effective at capturing the decisive moment and whether they do or not is largely a question of fortune after the photographer has pre-set the conditions.

For less specialised applications the photographer has to choose to manually trip the shutter and can apply one of the two manual options in the hope of doing so at just the right moment (within the 1/10th of a second that the moment lasts on average).

So, can firing a burst of shots at a high rate of frames-per-second (fps) capture the decisive moment?

Nikon's D300 delivers 6fps. At a shutter speed of 1/30th of a second the probability of capturing the moment is 1 in 3. To demonstrate this, consider the following diagram:


The circles show the one second timeframe split into thirty intervals of 1/30th of a second each. The points when the shutter is open are shown in yellow. The interval between shots is shown in blue. This diagram shows four possible points when the 1/10th of a second (=3/30ths of a second) decisive moment may happen:
  • Point A (in red) will be a missed shot as it falls in the interval when the shutter is closed. 
  • Point B (in amber) will probably be an unacceptable shot since the decisive moment is forming whilst a shot is being taken. 
  • Point C (also in amber) will probably be an unacceptable shot since the decisive moment finishes in the same interval that the shutter fires, and so has passed too far. 
  • Point D (in green) will be a good shot since the decisive moment has become established before the shutter opens and remains stable until after the shutter closes.

The chance of capturing a good shot of a moment using a burst of exposures is given by the following formula (many thanks to Holly Hayes for help in deriving this): 
Given: 
De - Duration of event 
Ts - shutter speed 
Ns - number of shots taken 
fps - frames per second 
Probability of capturing good shot is 
(De - Ts)*(Ns-1) / ( (Ns/fps) - De ) 
For the D300 example, this gives:
De = 0.1s 
Ts = 0.033s 
Ns = 6 
fps = 6 

(0.1 - 0.033) * (6-1) / ( (6/6) - 0. 1 ) = 0.37 
Which is just about 1 in 3.

The formula assumes that we will start shooting before the moment happens, which in all likelihood we will: therefore the first shot is bad and we subtract one from the number of shots.

Notice that as the shutter speed decreases the chance of getting the shot increases. This is because a shorter shutter speed is less likely to fall at the start/end of the moment; e.g. for a shutter speed of 1/120th of a second (0.008s):

(0.1 - 0.008) * (6-1) / ( (6/6) - 0. 1 ) = 0.51 
Also notice that the number of shots taken has little effect on the probability of capturing the moment, since number of shots appears on the top and the bottom of the division; e.g. if we shoot twice as many:
(0.1 - 0.033) * (12-1) / ( (12/6) - 0. 1 ) = 0.39 
The frame rate has a significant effect. Consider if we invested the £5,000 or so needed to upgrade from a D300 to a D4 so that we could shoot at 10fps, keeping all other parameters the same:
(0.1 - 0.033) * (6-1) / ( (6/10) - 0. 1 ) = 0.67 
Here the probability of getting a good shot is 2 out of 3, as opposed to 1 out of 3 with the D300. Pushing the equation to the limit, shooting 10 shot at 1/8000s (0.000125s):
At 6fps: (0.1 - 0.000125) * (10-1) / ( (10/6) - 0. 1 ) = 0.574 
At 10fps: (0.1 - 0.000125) * (10-1) / ( (10/10) - 0. 1 ) = 0.999 
It is clear that a higher frame rate is highly desirable.

Charting shutter speed against probability for 6fps and 10fps gives:



In conclusion can firing a burst of shots at a high rate of frames-per-second (fps) capture the decisive moment?

The answer seems to be 'yes, sometimes'. Using a high-end camera and restricting shutter speeds to 1/125th of a second or higher for moments slower than 0.1 seconds with placement tolerances of 10% or more then we can rely on the camera to implement the photographer's artistic judgement.

But there are a lot of constraints there. In practice the photographer will achieve greatest success if they use continuous shooting with caution. If the photographer takes the time to learn the behaviours of their subject, and to anticipate the decisive moment, the chance of success will be greater. The formula becomes:
(De - Ts)*Ns / ( (Ns/fps) - De ) 
And the chance of success shooting with a 1/30th of a second shutter speed at 6fps rises from 37% to 45%, almost 1 in 2 as opposed to 1 in 3.

The success will be all the more fulfilling since it relies less upon good fortune. The capabilities of the technology can certainly play a supporting role, especially with high-speed or uncertain action, but with today's technology intuition remains firmly the province of the seeing eye.

Summary 

Contrary to dogma I consider all photographs of worth to contain a 'decisive moment', otherwise they are snapshots or documents.

Depending on the subject the moment can have a wide range of durations. When dealing with action, the moment's duration is a function of the size of the moving object and its speed. If the action is orthogonal to the plane of the image the moment's duration is a function of the change in apparent size of the moving object. If the action doesn't move (e.g. is a change in expression) then knowledge of the subject is required to understand the duration of the decisive moment. For example, expression related to speech may be a function of the speed of the speech.

The decisive moment in action shots may well be around 0.1 seconds on average, although panning may be required. Moments of this duration cannot be reliably captured by a camera's high-speed continuous shooting mode in a wide range of situations. High-speed shooting can be a help, but only if the photographer approaches the shot with the anticipation needed to 'intuit' the moment.

This reliance on human skill transfigures the mechanical craft of photography to an artistic endeavour. Despite advances in technology, photography remains an art.