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Conference Paper
Face Recognition with Multiscale Data Fusion of Visible and Thermal Images
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- Authors
- Sang Woo Moon, Seong G. Kong, Jang Hee Yoo, Kyo Il Chung
- Issue Date
- 2006-10
- Citation
- International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS) 2006, pp.24-27
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents face recognition with activity level fusion of visible and thermal image using multiscale decomposition. Image fusion combines images with different features to obtain a single composite image with extended information for better recognition performance. The proposed fusion technique adoptively controls the fusion ratio between visible and thermal information with multiscale analysis. Experimental results demonstrate that the proposed method effectively overcomes the weaknesses of visible and thermal images. The performance of the fusion is evaluated by classification rate with support vector machines. © 2006 IEEE.
- KSP Keywords
- Activity level, Classification rate, Composite image, Fusion ratio, IMAGE FUSION, Multiscale analysis, Support VectorMachine(SVM), Thermal image, face recognition, fusion technique, multiscale data fusion