Multiview video coding using a multistate dynamic programming disparity estimation algorithm

Nikos Grammalidis; Michael G. Strintzis

doi:10.1117/12.251280

16 September 1996 Multiview video coding using a multistate dynamic programming disparity estimation algorithm

Nikos Grammalidis, Michael G. Strintzis

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251280
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

An efficient disparity estimation and occlusion detection and characterization algorithm for multiocular systems is presented. A dynamic programming algorithm, using a multiview matching cost as well as pure gometrical constraints, is used to provide an estimate of the disparity field and to identify occluded areas. An important advantage of this approach is that not only are the occluded points simultaneously detected, but they are also characterized by the number of views where each point is occluded. Specifically, a 'state' map describing the number of matches for each imaged pixel and thus identifying occluded points in the multiview sequence is produced. The disparity and state information is then coded using a directional coding technique and applied to obtain virtual images from intermediate viewpoints. Experimental results, obtained using a four-view image sequence, illustrate the performance of the proposed technique.

Citation Download Citation

Nikos Grammalidis and Michael G. Strintzis "Multiview video coding using a multistate dynamic programming disparity estimation algorithm", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251280

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