My project ‘Perspective Corrections’ researches spatial projection. How does space translate itself to a flat surface and how can distortions resulting from perspective be corrected? I searched for the answer to this question through a long research connecting mathematics and physics with both photography and video. The goal: to get closer to an image in which perspective has minimal effect on the photographic representation of the space on step at a time, starting with a combination of standpoint and width. A spatial area that is too large to perceive at one time becomes a unified whole. The amount of distortion appears to have increased exponentially, yet with minimal perspective. De subsequent test with a combination of standpoint at increasing heights instantly provides a much flatter, more natural-looking image. Still, the desirable perspective with minimal perspective is only achieved with a combination of standpoints in both height and width.
Up until that point all corrections were calculated per standpoint and applied by hand.
Each time the distance between the standpoint and object was determined, and with this
all objects in the photograph were made into the same size. The chosen objects are all
distinctly rectangular, a quality which allowed for this method. Yet many objects do not
possess this quality. They are more complexly shaped and do not always allow for a perfect
grid of standpoints to face them. The solution to this problem was found in the medium of
video. Instead of photographing each standpoint separately, I chose to film them whilst
driving past the object. After this the video is divided into 30 to 60 frames per second,
dependent on the driving speed and the number of details in the registered object. The
only difference between these frames is the change in standpoint in the direction of driving.
Other changes are negligible due to the minimal time difference between the shots. The
correction is executed through the use of a formula instead of by hand. From this point
onwards entire cities and provinces, regardless of their shape, became part of the subject
matter that could be registered using this technique.
The main driving force behind this project is the discrepancy between spatial reality and one’s perception of it. Each one of us to a certain extent has an overview of our spatial environment. This overview is based on a combination of perceptions and one’s movement in this space and is full of deviations. Often these deviations only become clear when one sees the overview of a certain space. The amazement regarding how different this perception can be from reality has caused me to search for a way to represent space without human errors, to create a certain level of security in the world that can’t be observed without my distorting senses.