Parametric face coding for invariant model representation

被引:4
|
作者
Sun, L [1 ]
Qamhiyah, AZ [1 ]
机构
[1] Iowa State Univ, Dept Engn Mech, Ames, IA 50011 USA
关键词
CAD; wavelet transforms; transformation-invariant object representation; ZERO-CROSSINGS; RECOGNITION; OBJECTS; SPACE; LINES;
D O I
10.1016/S0010-4485(02)00072-6
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper addresses the development of a transformation-invariant coding system for CAD models and form features by multi-scale wavelet representations in order to automate algorithmic search and retrieval shape patterns in CAD models. The coding system is implemented in terms of the topology entity-face. A face consists of the internal surface patches and the external contours. Both the surface patch and contour information are included in the code. Discrete wavelet transforms are unstable under the translation, rotation, and dilation of an input signal. In order to overcome this limitation, one of the most intrinsic shape characteristics-curvature, which is invariant to transformation and parameterization, is used to represent the surface patches. The face contour is approximated by the radial distance function and represented by the wavelet zero-crossings. These two transformation-invariant shape descriptors are then decomposed into fine-to-coarse approximations and details by discrete wavelet transforms. A few of these wavelet detail coefficients are then selected and normalized as codes. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:519 / 532
页数:14
相关论文
共 50 条
  • [1] Parametric representation of a translation-invariant renormalizable noncommutative model
    Tanasa, Adrian
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2009, 42 (36)
  • [2] SVD Face: Illumination-Invariant Face Representation
    Kim, Wonjun
    Suh, Sungjoo
    Hwang, Wonjun
    Han, Jae-Joon
    IEEE SIGNAL PROCESSING LETTERS, 2014, 21 (11) : 1336 - 1340
  • [3] A Novel Face Representation Toward Pose Invariant Face Recognition
    Yu, Liang
    Kamata, Sei-ichiro
    Fang, Yong
    TENCON 2010: 2010 IEEE REGION 10 CONFERENCE, 2010, : 179 - 183
  • [4] Generic face invariant model for face detection
    Taffar M.
    Benmohammed M.
    Advances in Intelligent and Soft Computing, 2011, 102 : 43 - 51
  • [5] Illumination Invariant Face Image Representation Using Quaternions
    Rizo-Rodriguez, Dayron
    Mendez-Vazquez, Heydi
    Garcia-Reyes, Edel
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, 2010, 6419 : 434 - 441
  • [6] Improving face representation learning with center invariant loss
    Wu, Yue
    Liu, Hongfu
    Li, Jun
    Fu, Yun
    IMAGE AND VISION COMPUTING, 2018, 79 : 123 - 132
  • [7] Pose-invariant face recognition with parametric linear subspaces
    Okada, K
    von der Malsburg, C
    FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS, 2002, : 71 - 76
  • [8] Bimode model for face recognition and face representation
    Yan, Hui
    Yang, Jian
    Yang, Jingyu
    NEUROCOMPUTING, 2011, 74 (05) : 741 - 748
  • [9] Transformation guided representation GAN for pose invariant face recognition
    Philip Chikontwe
    Yongbin Gao
    Hyo Jong Lee
    Multidimensional Systems and Signal Processing, 2021, 32 : 633 - 649
  • [10] Transformation guided representation GAN for pose invariant face recognition
    Chikontwe, Philip
    Gao, Yongbin
    Lee, Hyo Jong
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2021, 32 (02) : 633 - 649