Genetic stereo matching using complex conjugate wavelet pyramids

L Luo, DR Clewer, CN Canagarajah, DR Bull

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

2 Citations (Scopus)
338 Downloads (Pure)


A new genetic algorithm-based optimisation technique for stereo matching using complex conjugate wavelet pyramids is proposed. Reliable disparity fields are estimated in the wavelet domain with low computational cost. The new cost function is composed of the differences in wavelet coefficient values, plus vertical discontinuity and ordering constraints. Within homogenous regions, smoothness constraints on the disparity field are also employed. A genetic algorithm is used, where previously estimated vectors at the former image hierarchy are used to predict the corresponding search space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly reduces computational complexity compared to other methods, whilst maintaining robust performance
Translated title of the contributionGenetic Stereo Matching Using Complex Conjugate Wavelet Pyramids
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing (ICIP), Greece, October, 2001
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages153 - 156
ISBN (Print)0780367251
Publication statusPublished - Oct 2001
EventInternational Conference on Image Processing, 2001 (ICIP 2001) - Thessaloniki, Greece
Duration: 1 Oct 2001 → …


ConferenceInternational Conference on Image Processing, 2001 (ICIP 2001)
Period1/10/01 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work was supported by the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology Ltd. Acknowledgement also goes to the
University of Tsukuba, Japan for use of their imagery in this paper

Terms of use: Copyright © 2001 IEEE. Reprinted from International Conference on Image Processing, 2001.

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