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3D Reconstruction from Accidental Motion
3D Reconstruction from Accidental Motion Fisher Yu Princeton University David Gallup Google Inc. (a) Input image sequence (b) Foreground points of SfM (c) Dense reconstruction (d) Synthetic aperture Figure 1: We investigate reconstruction from image sequence with very small motion as shown in (a), where the motion between images are hard to observe. (b) and (c) shows our reconstruction results an
CVPR 2014 3D Reconstruction from Accidental Motion
This video is better viewed in high definition. We have discovered that 3D reconstruction can be achieved from a single still photographic capture due to accidental motions of the photographer, even while attempting to hold the camera still. Although these motions result in little baseline and therefore high depth uncertainty, in theory, we can combine many such measurements over the duration of
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