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Estimation of 3D structure and motion from image corners

✍ Scribed by Yuncai Liu; Xiaoyun Zhang; Thomas S. Huang


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
221 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis


This paper deals with motion estimation from image corner correspondences in two cases: the orthogonal corner and the general corner with known space angles. The contribution of the paper is in three folds: First, the three-dimensional structure of a corner is recovered easily from its image by introducing a new coordinate system; second, it is shown that the one corner and two points correspondences over two views are su cient to uniquely determine the motion, i.e., the rotation and translation; third, experiments using both simulated data and real images are conducted, which present good results.


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## Abstract This article describes a new method for object trajectory estimation that uses sequences of images taken from a monocular camera. The method integrates a Kalman filter to estimate the three‐dimensional (3D) parameters of the optical system and a lineal projective model to determine 3D p