Structure analysis of natural scenes using census transform and region competition
Kunio Yamada, Tadashi Ichikawa, Takeshi Naemura, Kiyoharu Aizawa, Takahiro Saito · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In this paper we propse an approach to generate a panorama depth map which is dense enough to be used as a template for cutting out a texture image by the depth, i.e. structuring the scene into layers to construct a shared 3-D image space. For depth estimation, we make use of census transform for robust determination of correspondence of a stereo pair. To interpolate unknown disparities, we introduced a process influenced by the K-means algorithm. For densification of the depth data, we make use of Region Competition. During the stitching, the confidence of the data is improved for the overlapped areas by multiple evaluation of the disparity data.