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Proceedings Paper

Multiview video coding using a multistate dynamic programming disparity estimation algorithm
Author(s): Nikos Grammalidis; Michael G. Strintzis
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Paper 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.

Paper Details

Date Published: 16 September 1996
PDF: 9 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251280
Show Author Affiliations
Nikos Grammalidis, Aristotle Univ. of Thessaloniki (Greece)
Michael G. Strintzis, Aristotle Univ. of Thessaloniki (Greece)


Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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