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Titlebook: Biometric Recognition; 7th Chinese Conferen Wei-Shi Zheng,Zhenan Sun,Jianhuang Lai Conference proceedings 2012 Springer-Verlag Berlin Heide

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3D Face Pose Estimation Based on Multi-template AAMtructure is proposed. Firstly, a set of multi-view face detection model is established by boosting algorithm to detect multi-view faces. Then, a set of AAM models can be obtained after training different poses faces, and the objective face is matched with the set of AAM models to choose the optimum
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Comparing Studies of Learning Methods for Human Face Gender Recognitiond and proven to be useful for human face gender recognition. However, they have lots of shortcomings, such as, requiring setting a large number of training parameters, difficultly choosing the appropriate parameters, and much time consuming for training. In this paper, we proposes a new learning met
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Fusion of mSSIM and SVM for Reduced-Reference Facial Image Quality Assessment. In this paper, we propose a simple but efficient facial IQA algorithm based on Bayesian fusion of modified Structural Similarity (mSSIM) index and Support Vector Machine (SVM) as a reduced-reference method for facial IQA. The fusion scheme largely improves the facial IQA and consequently promotes
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A Survey of Face Hallucinationbeen an active research topic in the last decade. This paper makes a survey of approaches to high quality face hallucination by looking at theoretical backgrounds and practical results. The strengths and weaknesses of these approaches are identified to form a base for a new sparsity-based method for
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On the Influence of Fingerprint Area in Partial Fingerprint Recognitionrints is still a challenge in fingerprint matching. In fingerprint recognition systems, there are frequently appeared partial fingerprints, such as incompletely touching in fingerprint scanning or latent fingerprints. In this paper, we studied the influence of the fingerprint area in partial fingerp
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