期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B5
页码：719-724
出版社：Copernicus Publications
摘要：Deriving accurate 3-D motion information of a scene is an essential and important task in computer vision, and is also one of the most difficult problems. In this paper, using photogrammetry method and computer vision technique the author investigates the determination of 3-D motion parameters from binocular stereo image sequences method and steps. Discussing the in-situ calibration for binocular stereo computer vision systems, combining correlation coefficients and relaxation method for performing motion and binocular stereo matching of images based on point feature, 3-D feature points in the motion object correspondences before and after motion, using "Skew-Symmetric Matrix Decomposition (SSMD)" algorithms which exploits the fewest variables and without losing the linearity in computation to reduce computing complexity and improve accuracy about motion parameters R and T acquirement etc. Finally, the motion parameters of real data based on 3-D correspondences feature estimation method are given
