Consistent depth maps recovery of video via object segmentation

Recent development of depth sensors has facilitated the progress of 2D-plus-depth methods for 3D video representation, for which frame-rate up-conversion (FRUC) of depth video is a critical step. However, due to the computational cost of state-of-the-...

We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-...

This paper presents a novel method for recovering consistent depth maps from a video sequence. We propose a bundle optimization framework to address the major difficulties in stereo reconstruction, such as dealing with image noise, occlusions, and ...