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Multi-view scene flow estimation: A view centered variational approach
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and scene flow that allows us to directly estimate the desired unknowns. A unified global energy functional is proposed to incorporate the information from the available sequences and simultaneously recover both depth and scene flow. The functional enforces multi-view geometric consistency and imposes brightness constancydoi:10.1109/cvpr.2010.5539791 dblp:conf/cvpr/BashaMK10 fatcat:pf6odgczwzhrdapl7xsnjlygzq