Medium Post Week 10
The first photogrammetry model was done by compiling screenshots of the video navigating the space, only using ascending pictures showing a maximum of information about the space. The discrepancy between ascending and descending pictures is discussed in the week 7 post. By creating a new set of screenshots focusing on a descending camera, a second photogrammetry model can be generated showcasing the effects of a “blinded camera”. Effectively the lens can be compared to the human eye traveling up or down a stair and could showcase the changing perceptions via a changing model between ascending photogrammetry and descending photogrammetry. In addition to these two lenses, a third static camera is monitoring the space and has its own set of information. Their intersection is my aim at the moment.
The video footage was used this time for a descending extraction of snapshots. The aim is to feed the photogrammetry software a set of pictures with the same path used in model 1 looking in the opposite direction. Effectively it means the set has intentionally limited information.
I fed the set to the photogrammetry software and ended up with broken modeling of the stairs. The software seems to fight to create a conclusive space from the pictures but is unable to do so accurately in axonometric view. The juxtaposed models of accurate and broken space embody the lens’s ability to understand its surroundings — there is a noticeable difference between seeing the model in first-person perspective and axonometric.
By inserting the eye into the created models, motion can juxtapose in one moment the two perceptions at a specific location, three pictures from three eyes: the ascending the descending, and the surveillance camera. The drawing literally juxtaposes the two spaces by putting them over each other on the z-axis, linking the same location to an intermediate moment.
The exercise also made me notice holes in the camera’s knowledge literally opening round windows in the created mesh. I wonder if there is a way to trick the camera by using pictures from the photogrammetry model to create a new space that is imprisoned by the lens’s initial misunderstanding of space.
