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CATALYST 2015 Portfolio Dustin Schipper


Photogrammetry Techniques

While any series of images could be fed into photogrammetry software, if the images do not have the proper overlap the software will have a difficult time relating them to one another. While there are any number of techniques that can be implemented to produce speculative meshes exploring the implications of computer vision, the underlying mechanism will always be the computer’s capability of relating groups of pixels to one another. Above are three examples of photographic techniques that can yield image overlap, and result in a high association between images, resulting in more thorough meshes. In the particular photogrammetry software used to create these images (Photoscan), the blue frames represent the positions of the camera in relation to one another, and to the geometry they produce.


A Computer’s Understanding of Traversal

To study intersection of computer vision, perception and time; we used photogrammetry to model various traversals across the campus mall. The point clouds and finished models yielded results in which the objects least warped by changes in perspective were most clearly defined. From a computer’s perspective, the objects that make up the distant backgrounds of visual input serve as perceptive anchors, guiding the spacial experience of traversing terrain.


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A Computer’s Understanding of Traversal

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Traversing a path from the bus stop to Rapson Hall


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A Computer’s Understanding of Traversal

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A flying traversal across the campus mall


Fabrication Potential

In addition to its more speculative applications, photogrammetry offers a real potential to document and reproduce physical objects. This unique sculptural element can be found hidden in the entryway to Pillsbury Hall. Through the use of photogrammatry it has been re-presented in a new material, through a new process, with much of its geometry preserved in its original form.

Dustin Schipper Portfolio  
Dustin Schipper Portfolio  
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