Stereo disparity estimation using GA-controlled search in the DCT domain

• Published in: 6th International Conference on Image Processing and its Applications pp. 239 - 243
• Main Authors: Pagliari, C.L, Dennis, T.J
• Format: Conference Proceeding
• Language: English
• Published: London IEE 1997
• Subjects: Applied sciences; Computer vision and image processing techniques; Exact sciences and technology; Image processing; Information, signal and communications theory; Optical information, image and video signal processing; Other numerical methods; Pattern recognition; Signal processing; Simulation, modelling and identification; Telecommunications and information theory; discrete cosine transforms; estimated disparity map; visual perception; stereo disparity estimation; DCT domain; GA-controlled search; reverse transform; image matching; image block sets; estimated DCT coefficients; genetic algorithm; discrete cosine transform; stereo matching; stereo image processing; parameter estimation; camera; stereo vision; search problems; Image processing; Stereopsis; Genetic algorithm; Cosine transform
• ISBN: 085296692X; 9780852966921
• ISSN: 0537-9989
• DOI: 10.1049/cp:19970891

The objective of stereo matching is, given a point in one view of a scene, to find the identical point in another view from an adjacent camera. This article demonstrates the use of the discrete cosine transform (DCT) with a genetic algorithm (GA) to perform the stereo matching process. The matching process is implemented by generating for each image block sets of estimated DCT coefficients which when reverse transformed become the estimated disparity map for that block. The job of optimising the DCT coefficients is carried out by the GA. A review of stereo vision and genetic algorithms is given.