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Proceedings Paper

Distributed RANSAC for 3D reconstruction
Author(s): Mai Xu; Maria Petrou
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Paper 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.

Paper Details

Date Published: 25 February 2008
PDF: 9 pages
Proc. SPIE 6805, Three-Dimensional Image Capture and Applications 2008, 68050W (25 February 2008); doi: 10.1117/12.759133
Show Author Affiliations
Mai Xu, Imperial College London (United Kingdom)
Maria Petrou, Imperial College London (United Kingdom)

Published in SPIE Proceedings Vol. 6805:
Three-Dimensional Image Capture and Applications 2008
Brian D. Corner; Masaaki Mochimaru; Robert Sitnik, Editor(s)

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