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

fYear

1994

fDate

13-16 Apr 1994

Firstpage

292

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344909

Filename

344909