The Community for Technology Leaders
RSS Icon
Issue No.02 - February (1989 vol.11)
pp: 113,114,115,116,117,118,119,120
An algorithm is presented for error detection and correction of disparity, as a process separate from stereo matching, with the contention that matching is not necessarily the best way to utilize all the physical constraints characteristic to stereopsis. As a result of the bias in stereo research towards matching, vision tasks like surface interpolation and object modeling have to accept erroneous data from the stereo matchers without the benefits of any intervening stage of error correction. An algorithm which identifies all errors in disparity data that can be detected on the basis of figural continuity and corrects them is presented. The algorithm can be used as a postprocessor to any edged-based stereo matching algorithm, and can additionally be used to automatically provide quantitative evaluations on the performance of matching algorithms of this class.<>
computerised pattern recognition, computer vision, error correction, computer vision, computerised pattern recognition, error detection, stereo matching, vision tasks, surface interpolation, Error correction, Layout, Stereo vision, Intelligent robots, Interpolation, Eyes, Humans, Information resources, Computerized monitoring
"Stereo error detection, correction, and evaluation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.11, no. 2, pp. 113,114,115,116,117,118,119,120, February 1989, doi:10.1109/34.16708
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool