Title :
The multiRANSAC algorithm and its application to detect planar homographies
Author :
Zuliani, M. ; Kenney, C.S. ; Manjunath, B.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
A RANSAC based procedure is described for detecting inliers corresponding to multiple models in a given set of data points. The algorithm we present in this paper (called multiRANSAC) on average performs better than traditional approaches based on the sequential application of a standard RANSAC algorithm followed by the removal of the detected set of inliers. We illustrate the effectiveness of our approach on a synthetic example and apply it to the problem of identifying multiple world planes in pairs of images containing dominant planar structures.
Keywords :
object detection; inliers set detection; multiRANSAC algorithm; planar homographies detection; Algorithm design and analysis; Application software; Clustering algorithms; Computer vision; Geometry; Image processing; Iterative algorithms; Layout; Optical computing; Parameter estimation;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530351