DocumentCode :
2319420
Title :
Expansion of Hager Belhumeur Inverse Additive Algorithm to Homographies
Author :
Hong, Hyun Seok ; Chung, Myung Jin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon
fYear :
2006
fDate :
5-8 Dec. 2006
Firstpage :
1
Lastpage :
4
Abstract :
Image alignment is a widely used technique in computer vision, and it can be applied to many areas such as image registration and region tracking. Hager and Belhumeur proposed an efficient image alignment algorithm which can find out translation and affine deformations quickly. However, it is known that their algorithm cannot be applied to homographies. Image alignment with a homography is important because general motions of object in 3D space are observed as perspective motions which are another name of homographies. In this paper, we propose an expanded inverse additive algorithm for homographies, and apply the algorithm to region tracking. We conduct real-time tracking experiments to show the performance of the proposed algorithm
Keywords :
computer vision; image motion analysis; inverse problems; 3D space; Hager Belhumeur inverse additive algorithm; computer vision; homographies; image alignment; object motion; Cameras; Computer vision; Geometry; Image motion analysis; Image processing; Image registration; Lighting; Minimization methods; Nonlinear optics; Robot vision systems; Hager-Belhumeur algorithm; homography; image alignment; inverse additive algorithm; region tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
Type :
conf
DOI :
10.1109/ICARCV.2006.345386
Filename :
4150209
Link To Document :
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