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Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan

New Prototype of Hybrid 3D-Biometric Facial

Haitham Issa1, Sali Issa2, and Mohammad Issa3 1 Department of Communications and Electronics Engin eering, Isra University, Jordan 2, 3Department of Electronics and Information Engineering, Huazhong University of Science and

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A Survey: Face Recognition Techniques under Partial Occlusion

Department of Computer Science, COMSATS Institute o f Information Technology, Pakistan

# FR # part based methods # feature based methods # frac tal-based methods # partial occlusion # recognition rates

An Improved Statistical Model of Appearance under Partial Occlusion

Abstract: The Appearance Models (AMs) are widely used in many applications related to face recognition, expression

#Computer vision # appearance model # partial occlusion # robust error functions # CIECAM02 appearance model

Analysis of Face Recognition under Varying Facial Expression: A Survey

Department of Computer Sciences, COMSATS Institute of Information Technology, Pakistan

# Facial expression # holistic # local # model # optical flow # muscles based and coding system

Selection of Distinctive SIFT Feature Based on

Department of Computer Engineering Graduate School, Kyung Hee University, Korea

# Face recognition # SIFT # distinctive features

A Novel Face Recognition System by the Combination of Multiple Feature Descriptors

Nageswara Reddy1, Mohan Rao2, and Chittipothula Satyanarayana1 1Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, India 2Department of Computer Science and Engineering, Avanthi Institute of Engineering and Technology,

#Face recognition system # LBP # LVP # GLVP # ELM