Multimodal face recognition method with two-dimensional hidden Markov model

被引:7
|
作者
Bobulski, J. [1 ]
机构
[1] Czestochowa Tech Univ, Inst Comp & Informat Sci, 73 Dabrowskiego St, PL-42201 Czestochowa, Poland
关键词
pattern recognition; biometrics; 3D face recognition; hidden Markov model; 3D; TIME; 2D;
D O I
10.1515/bpasts-2017-0015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The paper presents a new solution for the face recognition based on two-dimensional hidden Markov models. The traditional HMM uses one-dimensional data vectors, which is a drawback in the case of 2D and 3D image processing, because part of the information is lost during the conversion to one-dimensional features vector. The paper presents a concept of the full ergodic 2DHMM, which can be used in 2D and 3D face recognition. The experimental results demonstrate that the system based on two dimensional hidden Markov models is able to achieve a good recognition rate for 2D, 3D and multimodal (2D+3D) face images recognition, and is faster than ICP method.
引用
收藏
页码:121 / 128
页数:8
相关论文
共 50 条
  • [1] Two-Dimensional Hidden Markov Models for Pattern Recognition
    Bobulski, Janusz
    Adrjanowicz, Lukasz
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I, 2013, 7894 : 515 - 523
  • [2] Image classification by a two-dimensional hidden Markov model
    Li, J
    Najmi, A
    Gray, RM
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (02) : 517 - 533
  • [3] Face Recognition Method with Two-Dimensional HMM
    Bobulski, Janusz
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS, CORES 2015, 2016, 403 : 317 - 325
  • [4] Two-dimensional Laplacianfaces method for face recognition
    Niu, Ben
    Yang, Qiang
    Shiu, Simon Chi Keung
    Pal, Sankar Kumar
    PATTERN RECOGNITION, 2008, 41 (10) : 3237 - 3243
  • [5] A SPECTRUM PREDICTION METHOD BASED ON TWO-DIMENSIONAL HIDDEN MARKOV MODEL FOR UAV COMMUNICATIONS
    Zhang Qixiang
    Luo Shan
    Liu Haibo
    Lin Rongping
    2022 19TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2022,
  • [6] Hidden Markov Models For Two-Dimensional Data
    Bobulski, Janusz
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013, 2013, 226 : 141 - 149
  • [7] A New Method of Two-Dimensional Feature Extraction for Face Recognition
    Li, Yongzhi
    Li, Guodong
    Yang, Jingyu
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 8, 2009, : 292 - 297
  • [8] Two-dimensional FLD for face recognition
    Xiong, HL
    Swamy, MNS
    Ahmad, MO
    PATTERN RECOGNITION, 2005, 38 (07) : 1121 - 1124
  • [9] A Hidden Markov Model for iris recognition method
    Wang Tong
    He Pi-Lian
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2379 - +
  • [10] Hidden Markov Models for face recognition
    Nefian, AV
    Hayes, MH
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 2721 - 2724