Digital scans of analogue architectural photography form tiny pieces of a large resulting puzzle. The original pictures are being analysed and categorised according to their vanishing-points and shapes. Based on this analysis, slices are being extracted from the source image. These slices retain the information of their position corresponding to their original vanishing-point and thus form a large pool of pieces, ready to be applied to new perspectives and shapes.
The clip below provides a look at the process:
Extracts of Local Distance from STOESELTNTPRO on Vimeo.
Using the extracted image segments, it is now possible to form collages of originally different pictures with a new common perspective. In order to compose a collage, a perspective-grid is defined and a lining of matching image segments is being applied. The segments are not altered to match the frame but fitting ones are chosen from the sheer mass of possible pieces. By defining additional keywords which describe the content of the original photographs, the selection of segments used for the final composition can be influenced. Thus a contextual layer is added through the semantic linking with the source material.
The recompositions mix and match the views and perspectives of both the architect and the photographer with a third, newly chosen frame. The resulting fine-art prints are entirely unique, and represent a new take on architectural imagery.
Head over to http://www.localdistance.org/ for full details, especially the results page which has some stunning images.
Wow! Excellent find!
ReplyDeleteThis would be such a cool filter feature within photoshop!
ReplyDeleteInteresting, but to me they just look a mess. I can see the interest from a computer-science point of view.
ReplyDelete