Title :
Determining the movement of objects from a sequence of images
Author_Institution :
Dept. of Computer Sci., Univ. of Texas, Austin, TX, USA
Abstract :
Discusses the problem of determining the three-dimensional model and movement of an object from a sequence of two-dimensional images. A solution to this problem depends on solving a system of nonlinear equations using a modified least-squared error method. Two views of six points or three views of four points are needed to provide an overdetermined set of equations when the images are noisy. It is shown, however, that this numerical method is not very accurate unless the images of considerably more points are used.
Keywords :
nonlinear equations; numerical methods; pattern recognition; modified least squared error method; nonlinear equations; numerical method; object movement; pattern recognition; three dimensional model; two dimensional images; Cameras; Computers; Equations; Image analysis; Image segmentation; Mathematical model; Optical imaging; Motion analysis; moving objects; three-dimensional motion analysis;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1980.6447703