Title :
Cooperative fusion of stereo and motion
Author :
Ho, Anthony Yuk-Kwan ; Pong, Tang-Chuen
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Hong Kong
Abstract :
This paper presents a new matching algorithm based on cooperative fusion of stereo and motion cues. In this algorithm, stereo disparity and image flow values are recovered from two successive pairs of stereo images by solving the stereo and motion correspondence problems. Feature points are extracted from the images as matching objects. The entire matching process composes of a network of four subprocesses (two for stereo and two for motion). Each of the subprocesses can access information from connected nodes to perform the disambiguation. The “best” matches are obtained in a relaxation manner using the 3-D continuity constraint. Experimental results are presented to illustrate the performances of the proposed method
Keywords :
feature extraction; image sequences; motion estimation; sensor fusion; stereo image processing; 3-D continuity constraint; cooperative fusion; experimental results; feature extraction; image flow; matching algorithm; matching objects; motion correspondence problems; motion cues; stereo correspondence problems; stereo cues; stereo disparity; stereo images; Application software; Computer science; Computer vision; Data mining; Feature extraction; Image processing; Layout; Neural networks; Speech processing; Stereo vision;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344909
