| Automatic Image Registration Based on Extraction of Corresponding-Points for Multi-Sensor Image Fusion |
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Won-Chul Choi, Jik-Han Jung, Dong-Jo Park, Byung-In Choi, Sung-Nam Choi |
1School of EECS, KAIST
2Samsung Thales Co., Ltd. |
| 다중센서 영상융합을 위한 대응점 추출에 기반한 자동 영상정합 기법 |
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최원철, 정직한, 박동조, 최병인, 최성남 |
1한국과학기술원 전자전산학부
2삼성탈레스(주) |
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| Abstract |
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In this paper, we propose an automatic image registration method for multi-sensor image fusion such as visible and infrared images. The registration is achieved by finding corresponding feature points in both input images. In general, the global statistical correlation is not guaranteed between multi-sensor images, which bring out difficulties on the image registration for multi-sensor images. To cope with this problem, mutual information is adopted to measure correspondence of features and to select faithful points. An update algorithm for projective transform is also proposed. Experimental results show that the proposed method provides robust and accurate registration results. |
| Key Words:
Image Registration, Multi-Sensor Images, Mutual Information, Automatic Feature Extraction |
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