About the construction of Plane Sweep Volume about dsgn HOT 4 CLOSED

I think you want to detail the difference between PSV and traditional stereo cost volume. PSV projects images to a set of equally-spaced depth planes while traditional cost volume projects images to a set of equally-spaced disparity planes (in stereo matching, it moves the right images pixel by pixel along the planes). Here, depth is inversely related to the disparity. You might check DSGN paper for details.

from dsgn.

Thank you for your reply. According to your paper, the features extracted from the right image when constructing the PSV is sub-pixel level. May I ask what strategy you adopted to extract the features corresponding to the depth of the right image?

from dsgn.

Given the float coordinate, features are extracted using bilinear interpolation. You may check

from dsgn.

Thanks a lot!

from dsgn.