> we exploit the fact that many object categories have a bilateral symmetry. Assuming an object is perfectly symmetric, one can obtain a virtual second view of it by simply mirroring the image and perform 3D reconstruction using stereo geometry
it says stereo so you need two pictures? I was thinking about the photogramemtry technique, this is great... I mean I wonder how accurate it is(with regard to depth calculation from images on a larger scale like feet) but man impressive
No, that's the brilliant part. They use one image and apply the assumption that it's a picture of a bilaterally-symmetric physical object in order to produce a synthetic second image.
hmm probably have to watch the video more thoroughly it seems like you're estimating/guessing the actual dimensions without a new source/angle to compare for the depth aspect. showing my ignorance here -- trained, I guess it depends on margin of error/does it matter, it seems pretty accurate
anyway this would be great with regard to reducing camera count if you're not relying heavily on LIDAR or "physical time to flight" sources of measurement
> we exploit the fact that many object categories have a bilateral symmetry. Assuming an object is perfectly symmetric, one can obtain a virtual second view of it by simply mirroring the image and perform 3D reconstruction using stereo geometry
That is pretty brilliant!