DocumentCode
1741571
Title
A piecewise affine model for image registration in nonrigid motion analysis
Author
Seetharaman, Guna ; Gasperas, Ged ; Palaniappan, Kannapppan
Author_Institution
Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, LA, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
561
Abstract
A piecewise-affine image registration method is proposed to compute the displacement field in an image sequence of an aerodynamic object experiencing heavy winds in a wind tunnel. Our method is useful for tracking objects whose net 3-D motion is fully characterized by a non-rigid motion and a significant component that is common to all parts of the object. A set of control points has been introduced on the object surface to help divide each image into a set of triangles and enable tracking each triangular area. The computed velocity field is piecewise affine for each triangle and is continuous across the boundary between any two adjacent triangles. Of interest is the accuracy of the registration process, and its estimate based on local moments and shape distortion that can be computed from the original image and the motion compensated version of its registered pair. The method has been applied to several images and the experimental results are presented
Keywords
image motion analysis; image registration; image sequences; motion compensation; 3D motion; aerodynamic object; displacement field; image registration; image sequence; local moments; motion compensated image; nonrigid motion analysis; object tracking; piecewise affine model; shape distortion; triangular areas; velocity field; wind tunnel; Aerodynamics; Image registration; Image sequences; Layout; Motion analysis; Optical distortion; Reflectivity; Sea surface; Tracking; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.901020
Filename
901020
Link To Document