DocumentCode
178150
Title
Affine Alignment of Occluded Shapes
Author
Santa, Zsolt ; KATO, ZOLTAN
Author_Institution
Image Process. & Comput. Graphics Dept., Univ. of Szeged, Szeged, Hungary
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
2155
Lastpage
2160
Abstract
A novel affine registration technique is proposed which efficiently handles the partial occlusion problem. The proposed method is working without point wise correspondences or radiometric information´s. The aligning transformation is found by solving a system of non-linear equations and minimizing the area of occlusions. Each equation is generated by integrating a non-linear function over the foreground domains of the shapes. In order to deal with occlusions, the shapes are approximated by polygons and the occluded areas are determined with simple boolean operators. Based on the tests on a large synthetic dataset, the proposed approach outperforms state of the art algorithms.
Keywords
image registration; nonlinear equations; nonlinear functions; affine alignment; affine registration technique; aligning transformation; large synthetic dataset; nonlinear equations; nonlinear function; occluded shapes; partial occlusion problem; Approximation algorithms; Approximation methods; Equations; Mathematical model; Minimization; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.375
Filename
6977087
Link To Document