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Motion from Three Weak Perspective Images Using Image Rotation
January 1996 (vol. 18 no. 1)
pp. 64-69
ASCII Text
x 
 
John Ostuni, Stanley Dunn, "Motion from Three Weak Perspective Images Using Image Rotation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 1, pp. 64-69, January, 1996.
 
 
BibTex
x
 
@article{ 10.1109/34.476013,
author = {John Ostuni and Stanley Dunn},
title = {Motion from Three Weak Perspective Images Using Image Rotation},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {18},
number = {1},
issn = {0162-8828},
year = {1996},
pages = {64-69},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.476013},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Motion from Three Weak Perspective Images Using Image Rotation
IS - 1
SN - 0162-8828
SP64
EP69
EPD - 64-69
A1 - John Ostuni,
A1 - Stanley Dunn,
PY - 1996
KW - Weak perspective
KW - correspondence
KW - object pose
KW - rigid object motion
KW - image rotation.
VL - 18
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—In this paper, it is shown that by using image rotation, one can develop a linear algorithm to find motion using three weak perspective images. By using the correspondence of four points over a pair of these images, a function can be developed which allows one to perform the necessary rotation. With the correct image rotation, one need only add a third image to have an overdetermined linear system with which to solve for the unknown elements of the rotation matrices relating these three images.

[1] 64 S. Ullman, The Interpretation of Visual Motion.Cambridge, Mass.: MIT Press, 1979.[2] T.S. Huang and C.H. Lee, "Motion and Structure From Orthographic Projections," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, pp. 536-540, 1989.[3] S. Ullman and R. Basri, "Recognition by Linear Combinations of Models," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, pp. 992-1006, 1991.[4] C-H. Lee and T.S. Huang, "Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views," Comp. Vis. Graph. and Image Processing, vol. 52, no. 3, pp. 309-327, Mar. 1990.[5] M.W. Spong and M. Vidyasagar, Robot Dynamics and Control.New York, N.Y.: John Wiley and Sons, 1989.

Index Terms:
Weak perspective, correspondence, object pose, rigid object motion, image rotation.
Citation:
John Ostuni, Stanley Dunn, "Motion from Three Weak Perspective Images Using Image Rotation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 1, pp. 64-69, Jan. 1996, doi:10.1109/34.476013
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