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Virtual Correspondence (virtual-correspondence.github.io)
27 points by jonbaer 10 days ago | hide | past | favorite | 2 comments





As I see it, this breaks down into a few steps, each of which is non-trivial:

A) From a set of 2d images, construct 3d models of a person in that pose. Map the original image pixels onto that model (as a texture?)

B) Rotate those models in 3d space to look for coincidence, and work backwards to figure out the respective angles, and merge the 3d models.

C) Iterate to improve the solution

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Much as the SIFT method for generating scale free "interesting points" for 2d images enabled the panorama stitching software of the past decade, this enables a new software space that should be quite interesting.


ML free? Classic. Great.



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