Fusion of global and local features for face verification

被引：0
|
作者：
Fang, YC [1 ]
Tan, TN [1 ]
Wang, YH [1 ]
机构：
[1] Chinese Acad Sci, NL PR, Inst Automat, Beijing, Peoples R China
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzz-v Inference System) and SVM (Support Vector Machine) are adopted respectively to form specialized feature representation for each subject by fusing global and local features. Instead of the common way for different subjects, we realize a new representation that adapts to each individual. Such adaptability in feature selection is inspired by face recognition in the HVS (Human Visual System) and results in an improved recognition rate.
引用
收藏
页码：382 / 385
页数：4
相关论文
共 50 条
  • [41] Fusion of local normalization and Gabor entropy weighted features for face identification
    Cament, Leonardo A.
    Castillo, Luis E.
    Perez, Juan P.
    Galdames, Francisco J.
    Perez, Claudio A.
    PATTERN RECOGNITION, 2014, 47 (02) : 568 - 577
  • [42] Faceprint: Fusion of Local Features for 3D Face Recognition
    Zhang, Guangpeng
    Wang, Yunhong
    ADVANCES IN BIOMETRICS, 2009, 5558 : 394 - 403
  • [43] Texture image retrieval based on fusion of local and global features
    Wang, Hengbin
    Qu, Huaijing
    Xu, Jia
    Wang, Jiwei
    Wei, Yanan
    Zhang, Zhisheng
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (10) : 14081 - 14104
  • [44] Texture image retrieval based on fusion of local and global features
    Hengbin Wang
    Huaijing Qu
    Jia Xu
    Jiwei Wang
    Yanan Wei
    Zhisheng Zhang
    Multimedia Tools and Applications, 2022, 81 : 14081 - 14104
  • [45] Gender Recognition Using Fusion of Local and Global Facial Features
    Mirza, Anwar M.
    Hussain, Muhammad
    Almuzaini, Huda
    Muhammad, Ghulam
    Aboalsamh, Hatim
    Bebis, George
    ADVANCES IN VISUAL COMPUTING, PT II, 2013, 8034 : 493 - 502
  • [46] Gender Classification via Global-Local Features Fusion
    Yang, Wankou
    Chen, Cuixian
    Ricanek, Karl
    Sun, Changyin
    BIOMETRIC RECOGNITION: CCBR 2011, 2011, 7098 : 214 - 220
  • [47] DECISION FUSION OF GLOBAL AND LOCAL IMAGE FEATURES FOR MARKOV LOCALIZATION
    Zhao, Zeng-Shun
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 32 - 37
  • [48] Local and Global Contextual Features Fusion for Pedestrian Intention Prediction
    Azarmi, Mohsen
    Rezaei, Mahdi
    Hussain, Tanveer
    Qian, Chenghao
    arXiv, 2023,
  • [49] Local and Global Contextual Features Fusion for Pedestrian Intention Prediction
    Azarmi, Mohsen
    Rezaei, Mahdi
    Hussain, Tanveer
    Qian, Chenghao
    Communications in Computer and Information Science, 2023, 1883 CCIS : 1 - 13
  • [50] Global-local fusion network for face super-resolution
    Lu, Tao
    Wang, Jiaming
    Jiang, Junjun
    Zhang, Yanduo
    NEUROCOMPUTING, 2020, 387 : 309 - 320
12345