Improved temporal correspondences in stereo-vision by RANSAC

Hongsheng Zhang, Shahriar Negahdaripour

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations


Determining the image correspondences of scene points in two or more views remain elusive especially for large baselines and (or) rotations. Assuming a calibrated stereo rig, we propose two novel RANSAC-based algorithms to establish temporal correspondences of triplet and quadruplet matches in two stereo pairs robustly. We devise an efficient technique for the absolute orientation problem with minimum three matches [2]. This drastically reduces the number of random samplings, for a given probability of selecting no outlier in at least one set, compared to the application of the 7-/8-point algorithms [8, 6]. Within the general RANSAC paradigm, a low-cost selective random sampling scheme is incorporated to further enhance the robustness of the algorithm that utilizes quadruplet matches.

Original languageEnglish (US)
Pages (from-to)52-55
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
StatePublished - Dec 20 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: Aug 23 2004Aug 26 2004

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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