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25 February 2008 Distributed RANSAC for 3D reconstruction
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Proceedings Volume 6805, Three-Dimensional Image Capture and Applications 2008; 68050W (2008) https://doi.org/10.1117/12.759133
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Many low or middle level 3D reconstruction algorithms involve a robust estimation and selection step by which parameters of the best model are estimated and inliers fitting this model are selected. The RANSAC algorithm is the most widely used robust algorithm for this step. However, this robust algorithm is computationally demanding. A new version of RANSAC, called distributed RANSAC (D-RANSAC), is proposed in this paper to save computation time and improve accuracy. We compare our results with those of classical RANSAC and another state of the art version of it. Experiments show that D-RANSAC is superior to RANSAC in computational complexity and accuracy, and comparable with other proposed improved versions.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mai Xu and Maria Petrou "Distributed RANSAC for 3D reconstruction", Proc. SPIE 6805, Three-Dimensional Image Capture and Applications 2008, 68050W (25 February 2008); https://doi.org/10.1117/12.759133
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