Probabilistic graphical model for robust point set matching

被引:0
|
作者
Qu, Han-Bing [1 ,2 ,3 ]
Wang, Jia-Qiang [1 ,2 ]
Li, Bin [1 ,2 ]
Wang, Song-Tao [1 ,2 ]
机构
[1] Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing,100094, China
[2] Beijing Institute of New Technology Applications, Beijing,100094, China
[3] School of Computer Science and Engineering, Hebei University of Technology, Tianjin,300401, China
来源
关键词
Compendex;
D O I
10.16383/j.aas.2015.c140376
中图分类号
学科分类号
摘要
Graphic methods
引用
收藏
页码:694 / 710
相关论文
共 50 条
  • [1] An optimal probabilistic graphical model for point set matching
    Caetano, TS
    Caelli, T
    Barone, DAC
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, PROCEEDINGS, 2004, 3138 : 162 - 170
  • [2] Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching
    Qu, Han-Bing
    Wang, Jia-Qiang
    Li, Bin
    Yu, Ming
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (02) : 371 - 384
  • [3] Probabilistic Point Set Matching with Gaussian Mixture Model
    Qu, Han-Bing
    Wang, Jia-Qiang
    Li, Bin
    Yue, Feng
    Jin, Wei
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 2100 - 2107
  • [4] A probabilistic framework for robust and accurate matching of point clouds
    Biber, P
    Fleck, S
    Strasser, W
    PATTERN RECOGNITION, 2004, 3175 : 480 - 487
  • [5] Robust Point Set Matching for Partial Face Recognition
    Weng, Renliang
    Lu, Jiwen
    Tan, Yap-Peng
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 25 (03) : 1163 - 1176
  • [6] Probabilistic Graphical Models for Statistical Matching
    Endres, Eva
    Augustin, Thomas
    PROCEEDINGS OF THE 9TH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS (ISIPTA '15), 2015, : 340 - 340
  • [7] Robust Point Set Matching Under Variational Bayesian Framework
    Qu, Han-Bing
    Li, Ji-Chao
    Wang, Jia-Qiang
    Xiang, Lin
    Tao, Hai-Jun
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 58 - 63
  • [8] A probabilistic graphical model for the classification of mobile LiDAR point clouds
    Kang, Zhizhong
    Yang, Juntao
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 143 : 108 - 123
  • [9] Robust point-cloud registration based on dense point matching and probabilistic modeling
    Netto, Gustavo Marques
    Oliveira, Manuel M.
    VISUAL COMPUTER, 2022, 38 (9-10): : 3217 - 3230
  • [10] Robust point-cloud registration based on dense point matching and probabilistic modeling
    Gustavo Marques Netto
    Manuel M. Oliveira
    The Visual Computer, 2022, 38 : 3217 - 3230