Invariant feature extraction for 3D texture analysis using the autocorrelation function

被引：14
|
作者：
Brochard, J [1 ]
Khoudeir, M [1 ]
Augereau, B [1 ]
机构：
[1] CNRS, UMR 6615, SIC, IRCOM, F-86962 Futuroscope, France
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 6-7期
关键词：
3D-texture analysis; autocorrelation; affine transformation; invariant features;
D O I：
10.1016/S0167-8655(01)00015-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method for invariant feature extraction on textured images undergoing affine transformations is presented. This is performed by transformation of the autocorrelation function (ACF) followed by determination of an invariant criterion which is the sum of the coefficients of the discrete correlation matrix. Experimental results support the effectiveness of the proposed approach. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：759 / 768
页数：10
相关论文
共 50 条
  • [31] 2D/3D facial feature extraction
    Akakin, Hatice Cmar
    Salah, Albert Ali
    Akarun, Lale
    Sankur, Bulent
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS, NEURAL NETWORKS, AND MACHINE LEARNING, 2006, 6064
  • [32] Invariant 3D Line Context Feature for Instance Matching
    Cho, Kyungsang
    Kim, Jaewoong
    Lee, Sukhan
    PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM) 2019, 2019, 935 : 473 - 485
  • [33] Shift-invariant ring feature for 3D shape
    Bu, Shuhui
    Han, Pengcheng
    Liu, Zhenbao
    Li, Ke
    Han, Junwei
    VISUAL COMPUTER, 2014, 30 (6-8): : 867 - 876
  • [34] Shift-invariant ring feature for 3D shape
    Shuhui Bu
    Pengcheng Han
    Zhenbao Liu
    Ke Li
    Junwei Han
    The Visual Computer, 2014, 30 : 867 - 876
  • [35] FEATURE-BASED 3D TEXTURE SYNTHESIS APPROACH
    Chang, Chin-Chen
    Shih, Zen-Chung
    Chang, Chia-Wen
    Tai, Wen-Kai
    Way, Der-Lor
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (03): : 1201 - 1210
  • [36] Feature Extraction of the Wear Label of Carpets by Using a Novel 3D Scanner
    Orjuela, S. A.
    Vansteenkiste, E.
    Rooms, F.
    De Meulemeester, S.
    de Keyser, R.
    Phillips, W.
    OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR MULTIMEDIA APPLICATIONS, 2010, 7723
  • [37] Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction
    Grambow, Niklas
    Hinz, Lennart
    Bonk, Christian
    Krueger, Joerg
    Reithmeier, Eduard
    METROLOGY, 2023, 3 (02): : 169 - 185
  • [38] A new approach for eye feature extraction using 3D eye template
    Huang, WJ
    Yin, BC
    Jiang, CY
    Miao, J
    PROCEEDINGS OF 2001 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING, 2001, : 340 - 343
  • [39] Feature Extraction and Discriminating Feature Selection for 3D Face Recognition
    Gunlu, Goeksel
    Bilge, Hasan S.
    2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES, 2009, : 44 - +
  • [40] Multiscale 3D feature extraction and matching with an application to 3D face recognition
    Fadaifard, Hadi
    Wolberg, George
    Haralick, Robert
    GRAPHICAL MODELS, 2013, 75 : 157 - 176
12345