Dynamic programming for multi-view disparity/depth estimation

N Anantrasirichai, CN Canagarajah, DW Redmill, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

17 Citations (Scopus)
289 Downloads (Pure)


A novel algorithm for disparity/depth estimation from multi-view images is presented. A dynamic programming approach with window-based correlation and a novel cost function is proposed. The smoothness of disparity/depth map is embedded in dynamic programming approach, whilst the window-based correlation increases reliability. The enhancement methods are included, i.e. adaptive window size and shiftable window are used to increase reliability in homogenous areas and to increase sharpness at object boundaries. First, the algorithms estimate depth maps along a single camera axis. The algorithms exploits then combines the depth estimates from different axis to derive a suitable depth map for multi-view images. The proposed scheme outperforms existing approaches in parallel and in the non-parallel camera configurations
Translated title of the contributionDynamic programming for multi-view disparity/depth estimation
Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) Toulouse, France
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages269 - 272
Number of pages4
ISBN (Print)142440469X
Publication statusPublished - May 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Centre de Congrès Pierre Baudis, Toulouse, France
Duration: 14 May 200619 May 2006

Publication series

ISSN (Print)15206149


Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated titleICASSP '06

Bibliographical note

Rose publication type: Conference contribution

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