Object segmentation based on disparity estimation
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Unsupervised multiple object segmentation of multiview images
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A relational vector space model using an advanced weighting scheme for image retrieval
Information Processing and Management: an International Journal
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The tool presented in this paper performs an automatic segmentation of stereoscopic image sequences, based on the modeling of distance maps obtained by image processing. Two three-dimensional (3-D) image analysis algorithms are combined: (i) estimation of dense depth maps from stereoscopic image sequences and (ii) depth-based object segmentation. A Markovian statistical approach for such a segmentation of a dense depth map into arbitrarily shaped and oriented planar surfaces is described in detail. The simulation results on sequences “Fun fair” and “Tunnel”, provided on video tape to the MPEG-4 tests of November 1995, are discussed