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
  • [1] A Rotation Invariant Feature Extraction for 3D Ear Recognition
    Li, Yiliang
    Mu, Zhichun
    Zeng, Hui
    [J]. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 3671 - 3675
  • [2] 3D Texture Feature Extraction and Classification using the BM3DELBP approach
    Barburiceanu, Stefania
    Terebes, Romulus
    Meza, Serban
    [J]. 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2020), 2020, : 465 - 471
  • [3] 3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors
    Barburiceanu, Stefania
    Terebes, Romulus
    Meza, Serban
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (05): : 1 - 26
  • [4] 2D and 3D surface texture comparisons using autocorrelation functions
    Song, J
    Ma, L
    Whitenton, E
    Vorburger, T
    [J]. MEASUREMENT TECHNOLOGY AND INTELLIGENT INSTRUMENTS VI, 2005, 295-296 : 437 - 440
  • [5] 3D texture recognition using bidirectional feature histograms
    Cula, OG
    Dana, KJ
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 59 (01) : 33 - 60
  • [6] 3D Texture Recognition Using Bidirectional Feature Histograms
    Oana G. Cula
    Kristin J. Dana
    [J]. International Journal of Computer Vision, 2004, 59 : 33 - 60
  • [7] Invariant feature extraction for 3D model retrieval: An adaptive approach using Euclidean and topological metrics
    Pu, Yu-Chi
    Du, Wei-Chang
    Huang, Chien-Hsiang
    Lai, Chen-Kuo
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2012, 64 (05) : 1217 - 1225
  • [8] Adaptive Steganography via Image Complexity Analysis using 3D Color Texture Feature
    Grover, Ridhima
    Yadav, Dinesh Kumar
    Chauhan, D. K.
    Kamya, Suraj
    [J]. 3RD INTERNATIONAL CONFERENCE ON INNOVATIVE APPLICATIONS OF COMPUTATIONAL INTELLIGENCE ON POWER, ENERGY AND CONTROLS WITH THEIR IMPACT ON HUMANITY (CIPECH-18), 2018, : 125 - 129
  • [9] 3D object feature extraction and classification using 3D MF-DFA
    Wang, Jian
    Han, Ziwei
    Jiang, Wenjing
    Kim, Junseok
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 232
  • [10] 3D texture classification using the correlation function and SVM
    Meng, Li
    Ping, Fu
    Canjie, Huang
    [J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1824 - 1827
12345