A hierarchical genetic disparity estimation algorithm for multiview image synthesis

L Luo, DR Clewer, DR Bull, CN Canagarajah

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

8 Citations (Scopus)
397 Downloads (Pure)


A hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached using a hierarchical genetic matching procedure. Firstly, each hierarchical image of the stereo pair is divided into sets of feature points and non-feature points. The image morphological gradient for feature points and the disparity Laplacian function for non-feature points are incorporated into the matching function to serve as an adaptive smoothness term. Meanwhile, the vertical-discontinuity constraint and the ordering constraint are also proposed to smooth out vertical disparity discontinuities and to obtain a more reliable disparity estimation. In the hierarchical genetic matching procedure, previously estimated vectors at the former image hierarchy are used to predict the corresponding searching space of chromosomes, and to correct each newly calculated set of disparity vectors. This significantly increases the accuracy of disparity estimation
Translated title of the contributionA Hierarchical Genetic disparity Estimation Algorithm for Multiview Image Synthesis
Original languageEnglish
Title of host publicationIEEE Int. Conf. on Image Processing (ICIP), Vancouver
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages768 - 771
ISBN (Print)0780362977
Publication statusPublished - Sept 2000
EventInternational Conference on Image Processing (2000) - Vancouver, BC, Canada
Duration: 1 Sept 2000 → …


ConferenceInternational Conference on Image Processing (2000)
CityVancouver, BC
Period1/09/00 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The authors acknowledge to the support of the Virtual Centre of Excellence in Digital Broadcasting and Multimedia Technology (Theme 1) for the financial support of the work

Terms of use: Copyright © 2000 IEEE. Reprinted from IEEE International Conference on Image Processing, 2000.

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