Cameras tell “constructive” lies

A camera either tells a lie, or does not tell a lie. It may seem somewhat confusing, but it is all a matter of perspective.

The camera, being a machine, cannot really lie because the picture it is taking is what it is designed to take. Therefore every unmanipulated photograph, no matter its context is essentially true. This includes the use of things like film simulations – if the settings in a Fujifilm camera are modified to take a photograph using a simulation to mimic Kodak Porta 400 film, then the picture produced is true. On the other hand, the human eye, being subject to the interpretation of the brain often sees things differently from the camera lens with the result being that what the camera perceives as true, appears as false. In other words, it is the human eye that lies, or deceives us. Therefore to make the cameras rendition correspond closer to the humans perception, a photographer may have to force a camera to effectively tell a lie. The resulting picture then is a constructive lie, because the lie serves a constructive purpose.

Consider as an example, cars driving down a road. Since your eyes can follow the cars in transit, you can perceive them in the form of sharp images, while understanding that the cars are actually moving. A camera, using the appropriate fast shutter speed, will freeze the scene, effectively giving the erroneous impression that the cars on the road are standing still. There is no real difference between a picture of the cars in motion, or standing still. Motion can be rendered in the photograph with blur – using a slow shutter speed will cause a slight blur in the rendering of the picture. The eye does not see this blur in real life, so the photograph would not be true, but rather a constructive lie. The resulting image is much more descriptive of the scene.

The constructive lie and moving cars

Another example of a constructive lie deals with the colour temperature of a scene. The lighting in a scene may not create the most optimal scene from a visual perspective, perhaps due to the temperature of the light source, resulting in what is known as a colour cast. As a result a photographer may modify the temperature by means of a white balancing setting to the point where the eye perceives it as “normal”. For example a scene lit by a tungsten light would have an orange hue. A photograph taken of this scene would have a corresponding colour cast, which would be rejected by the brain as seeming “unnatural”, because colour memory makes us see things in the same light as a sunlit scene. This is another case where the photograph of the scene is “true”, and the corrected version is false – constructive lie.

The constructive lie and the ‘keystone effect’

The third example is the classic one where tall building appear somewhat skewed, leaning back into the scene – what is known as the keystone effect. This convergence of parallel lines is a perfectly natural example of perspective, which is perfectly acceptable in the horizontal plane, e.g. railway tracks, but seemingly deplorable in the vertical plane. Converging lines are easy to fix, either by means of the tilt-shift lens, or using software (some cameras have this built-in), with the resulting image being a constructive lie as opposed to the seeing the building as it really appears.

Why do buildings lean? (the keystone effect)

Some types of photography lend themselves to inherent distortions in the photograph, most notably those related to architectural photography. The most prominent of these is the keystone effect, a form of perspective distortion which is caused by shooting a subject at an extreme angle, which results in converging vertical (and also horizontal) lines. The name is derived from the archetypal shape of the distortion, which is similar to a keystone, the wedge-shaped stone at the apex of a masonry arch.

keystone effect in buildings
Fig.1: The keystone effect

The most common form of keystone effect is a vertical distortion. It is most obvious when photographing man-made objects with straight edges, like buildings. If the object is taller than the photographer, then an attempt will be made to fit the entire object into the frame, typically by tilting the camera. This causes vertical lines that seem parallel to the human visual system to converge at the top of the photograph (vertical convergence). In photographs containing tall linear structures, it appears as though they are “falling” or “leaning” within the picture. The keystone effect becomes very pronounced with wide-angle lenses.

Fig.2: Why the keystone effect occurs

Why does it occur? Lenses are designed to show straight lines, but only if the camera is pointed directly at the object being photographed, such that the object and image plane are parallel. As soon as a camera is tilted, the distance between the image plane and the object is no longer uniform at all points. In Fig.2, two examples are shown. The left example shows a typical scenario where a camera is pointed at an angle towards a building so that the entire building is in the frame. The angle of both the image plane and the lens plane are different to the vertical plane of the building, and so the base of the building appears closer to the image plane than the top, resulting in a skewed building in the resulting image. Conversely the right example shows an image being taken with the image plane parallel to the vertical plane of the building, at the mid-point. This is illustrated further in Fig.3.

Fig.3: Various perspectives of a building

There are a number of ways of alleviating the keystone effect. The first method involves the use of specialized perspective control and tilt-shift lenses. The best way to avoid the keystone effect is to move further back from the subject, with the reduced angle resulting in straighter lines. The effects of this perspective distortion can be removed through a process known as keystone correction, or keystoning. This can be achieved in-camera using the cameras proprietary software, before the shot is taken, or in post processing on mobile devices using apps such as SKRWT. It is also possible to perform the correction with post-processing using software such as Photoshop.

Fig.4: Various keystone effects