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Proceedings Paper

Lucas-Kanade image registration using camera parameters
Author(s): Sunghyun Cho; Hojin Cho; Yu-Wing Tai; Young Su Moon; Junguk Cho; Shihwa Lee; Seungyong Lee
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Paper Abstract

The Lucas-Kanade algorithm and its variants have been successfully used for numerous works in computer vision, which include image registration as a component in the process. In this paper, we propose a Lucas-Kanade based image registration method using camera parameters. We decompose a homography into camera intrinsic and extrinsic parameters, and assume that the intrinsic parameters are given, e.g., from the EXIF information of a photograph. We then estimate only the extrinsic parameters for image registration, considering two types of camera motions, 3D rotations and full 3D motions with translations and rotations. As the known information about the camera is fully utilized, the proposed method can perform image registration more reliably. In addition, as the number of extrinsic parameters is smaller than the number of homography elements, our method runs faster than the Lucas-Kanade based registration method that estimates a homography itself.

Paper Details

Date Published: 23 January 2012
PDF: 7 pages
Proc. SPIE 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 83010V (23 January 2012); doi: 10.1117/12.907776
Show Author Affiliations
Sunghyun Cho, POSTECH (Korea, Republic of)
Hojin Cho, POSTECH (Korea, Republic of)
Yu-Wing Tai, KAIST (Korea, Republic of)
Young Su Moon, Samsung Electronics (Korea, Republic of)
Junguk Cho, Samsung Electronics (Korea, Republic of)
Shihwa Lee, Samsung Electronics (Korea, Republic of)
Seungyong Lee, POSTECH (Korea, Republic of)


Published in SPIE Proceedings Vol. 8301:
Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques
Juha Röning; David P. Casasent, Editor(s)

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