Multi-image matching for a general motion stereo camera model

This paper presents an accurate and robust motion stereo algorithm employin g multiple images, taken under a general motion. The object functions for i ndividual stereo pairs are represented, in terms of the depth; then these o bject functions are integrated, considering the positions of cameras and th e shape of the object functions. By integrating the general motion stereo i mages, we not only reduce the ambiguities in correspondence, but also impro ve the accuracy of reconstruction. Also, by introducing a weight for each o bject function and selecting only reliable object functions, we can improve the accuracy greatly and eliminate false matches, caused by occlusion or n oise. Experimental results on the synthetic and real data sets are presente d to demonstrate the performance of the proposed algorithm. (C) 2001 Patter n Recognition Society. Published by Elsevier Science Ltd. All rights reserv ed.