Study on object recognition based on independent component analysis

被引：0
|
作者：
Huang, XM [1 ]
Liu, CM [1 ]
Zhang, LM [1 ]
机构：
[1] Fudan Univ, Dept EE, Shanghai 200433, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173卷
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：
This paper proposes a new scheme based on Independent Component Analysis(ICA) for object recognition with affine transformation. For different skewed shapes of recognized object, an invariant descriptor can be extracted by ICA, and it can solve some skewed object recognition problems. Simulation results show that the proposed method can recognize not only skewed objects but also misshapen objects, and it has a better performance than other traditional methods, such as Fourier method in object recognition.
引用
收藏
页码：720 / 725
页数：6
相关论文
共 50 条
  • [21] A neural-network appearance-based 3-D object recognition using independent component analysis
    Sahambi, HS
    Khorasani, K
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (01): : 138 - 149
  • [22] The component method of scene analysis and object recognition
    Vechur, A
    Chayka, A
    Chemodakov, Y
    [J]. IDAACS'2003: PROCEEDINGS OF THE SECOND IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2003, : 197 - 200
  • [23] Appearance-based gait recognition using independent component analysis
    Liang, Jimin
    Chen, Yan
    Hu, Haihong
    Zhao, Heng
    [J]. ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 371 - 380
  • [24] Fast Independent Component Analysis Based Digital Modulation Recognition Method
    Xu, Yiqiong
    Ge, Lindong
    Wang, Bo
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS, 2009, : 704 - 707
  • [25] Face Recognition based on Independent Component Analysis and Core Vector Machines
    Peng, Zhongya
    Cheng, Guojian
    Cao, Qingnian
    [J]. PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2009, 8 : 467 - 470
  • [26] Face recognition using feature extraction based on independent component analysis
    Kwak, N
    Choi, CH
    Ahuja, N
    [J]. 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2002, : 337 - 340
  • [27] Fast independent component analysis based digital modulation recognition method
    National Digital Switching System Engineering and Technology Research Center, Zhenzhou, China
    [J]. Proc. Int. Conf. Commun. Softw. Netw., ICCSN, 1600, (704-707):
  • [28] Block independent component analysis for face recognition
    Zhang, Lei
    Gao, Quanxue
    Zhang, David
    [J]. 14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2007, : 217 - +
  • [29] INDEPENDENT COMPONENT ANALYSIS FOR NOISY SPEECH RECOGNITION
    Hsieh, Hsin-Lung
    Chien, Jen-Tzung
    Shinoda, Koichi
    Furui, Sadaoki
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4369 - +
  • [30] Face recognition by Kernel independent component analysis
    Martiriggiano, T
    Leo, M
    D'Orazio, T
    Distante, A
    [J]. INNOVATIONS IN APPLIED ARTIFICIAL INTELLIGENCE, 2005, 3533 : 55 - 58
12345