Robust face detection and analysis |
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Authors: | Zhenquan Zhuang Yimin Cheng Qibin Sun Yixiao Wang |
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Affiliation: | (1) Department of Electronic Engineering, University of Science & Technology of China, 230026 Hefei;(2) Institute of System Science, National University of Singapore, Singapore |
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Abstract: | This paper presents a method which utilizes color, local symmetry and geometry information of human face based on various models. The algorithm first detects most likely face regions or ROIs (Region-Of-Interest) from the image using face color model and face outline model, produces a face color similarity map. Then it performs local symmetry detection within these ROIs to obtain a local symmetry similarity map. The two maps and local similarity map are fused to obtain potential facial feature points. Finally similarity matching is performed to identify faces between the fusion map and face geometry model under affine transformation. The output results are the detected faces with confidence values. The experimental results demonstrate its validity and robustness to identify faces under certain variations. |
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Keywords: | Face detection and analysis Similarity matching Fusion Local symmetry Color segmentation |
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