Computer simulation for optical pattern recognition of three-dimensional object perspective invariant

被引:0
|
作者
Nie, Shouping [1 ]
Bian, Songling [1 ]
Tao, Chunkan [1 ]
Li, Aimin [1 ]
机构
[1] Nanjing Univ of Science and, Technology, Nanjing, China
关键词
Computer simulation - Pattern recognition systems - Three dimensional;
D O I
暂无
中图分类号
学科分类号
摘要
By using a bank of filters in the conventional optical correlation system instead of a single filter, the three-dimensional object recognition based on the optical pattern recognition of 3-D object perspective invariant was realized with improved recognition precision by computer simulation. The difficulties in the design of filters bank were overcome by extracting the eigen-information from targets of different perspectives and by deriving the design equations as well as the restrained conditions of the filters bank of three object perspective invariant.
引用
收藏
页码:1 / 7
相关论文
共 50 条
  • [21] Rotation and scale invariant three-dimensional recognition using optical scanning holography
    Lee, Eung Joon
    Kim, Tae Woong
    Im, Dong Hwan
    Kim, Kyung Beom
    Lim, Seung Ram
    Kim, Taegeun
    2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2019, : 2410 - 2413
  • [22] Three-dimensional object recognition is viewpoint dependent
    Michael J. Tarr
    Pepper Williams
    William G. Hayward
    Isabel Gauthier
    Nature Neuroscience, 1998, 1 : 275 - 277
  • [23] Three-dimensional object recognition is viewpoint dependent
    Tarr, MJ
    Williams, P
    Hayward, WG
    Gauthier, I
    NATURE NEUROSCIENCE, 1998, 1 (04) : 275 - 277
  • [24] Object Recognition Based on Three-Dimensional Model
    Liang, Jun
    Zhang, Yanning
    Lin, Zenggang
    Guo, Zhe
    Zhang, Chao
    INTELLIGENT SCIENCE AND INTELLIGENT DATA ENGINEERING, ISCIDE 2011, 2012, 7202 : 218 - 225
  • [25] Three-dimensional object recognition: Statistical approach
    Salam, RA
    Rodrigues, MA
    WSCG'2003 POSTER PROCEEDINGS, 2003, : 1 - 4
  • [26] Three-dimensional object representation and invariant recognition using continuous distance transform neural networks
    Univ of Washington, Seattle, United States
    IEEE Trans Neural Networks, 1 (141-147):
  • [27] Three-dimensional object representation and invariant recognition using continuous distance transform neural networks
    Tseng, YH
    Hwang, JN
    Sheehan, FH
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1997, 8 (01): : 141 - 147
  • [28] Fringe pattern correlator for three-dimensional object recognition using multiplex color grating
    Yoshikawa, N
    OPTICAL ENGINEERING FOR SENSING AND NANOTECHNOLOGY (ICOSN 2001), 2001, 4416 : 436 - 439
  • [29] Three-dimensional object recognition using phaseonly computer-generated Fresnel hologram
    Kumar, Dhirendra
    Nishchal, Naveen K.
    2015 2ND INTERNATIONAL CONFERENCE ON OPTO-ELECTRONICS AND APPLIED OPTICS (IEM OPTRONIX), 2015,
  • [30] Three-dimensional correlation filters for orientation invariant recognition
    Mahalanobis, A
    Kumar, BVKV
    Van Nevel, AJ
    AUTOMATIC TARGET RECOGNITION XI, 2001, 4379 : 51 - 58