Texture Synthesis by Support Vector Machines

被引:0
|
作者
Dong, Junyu
Duan, Yuanxu
Sun, Guimei
Qi, Lin
机构
来源
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We introduce a simple texture synthesis method based on Support Vector Machines (SVM). Although SVM has been effectively used for various pattern recognition tasks, there is no report available on directly applying SVM for texture synthesis. The advantage of using SVM is that the sample can be simply modeled by a linear model and is not required during the synthesis stage. In addition, the method can be further extended to synthesize 3D surface texture or Bidirectional Texture Functions. Our experimental results show that the method can successfully model and synthesize semi or highly structured textures, which can be difficult subjects for previous texture synthesis methods based on parametric models.
引用
收藏
页码:2352 / 2355
页数:4
相关论文
共 50 条
  • [1] Support vector machines for texture classification
    Kim, KI
    Jung, K
    Park, SH
    Kim, HJ
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (11) : 1542 - 1550
  • [2] Wavelets and support vector machines for texture classification
    Rajpoot, KM
    Rajpoot, NM
    INMIC 2004: 8TH INTERNATIONAL MULTITOPIC CONFERENCE, PROCEEDINGS, 2004, : 328 - 333
  • [3] Texture classification using the support vector machines
    Li, ST
    Kwok, JT
    Zhu, HL
    Wang, YN
    PATTERN RECOGNITION, 2003, 36 (12) : 2883 - 2893
  • [4] Texture Classification Based on Contourlet and Support Vector Machines
    Zhu Xiangbin
    2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL II, 2009, : 521 - 524
  • [5] Texture classification using optimized support vector machines
    Xu, P
    Dai, M
    Chan, AK
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 544 - 547
  • [6] Supervised texture segmentation using support vector machines
    Kim, KI
    Jung, K
    Park, SH
    Kim, HJ
    ELECTRONICS LETTERS, 1999, 35 (22) : 1935 - 1937
  • [7] Learning-Based Texture Synthesis and Automatic Inpainting Using Support Vector Machines
    Dong, Xinghui
    Dong, Junyu
    Sun, Guimei
    Duan, Yuanxu
    Qi, Lin
    Yu, Hui
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (06) : 4777 - 4787
  • [8] Coral reef texture classification using support vector machines
    Mehta, Anand
    Ribeiro, Eraldo
    Gilner, Jessica
    Van Woesik, Robert
    VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV, 2007, : 302 - +
  • [9] Texture classification of aerial images based on support vector machines
    Xu, Fang
    Yan, Qin
    2003, Periodicals Press of Wuhan University (28):
  • [10] Texture classification using finite ridgelet transform and support vector machines
    Liu, Yunxia
    Peng, Yuhua
    Zhou, Xinhong
    PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4099 : 1042 - 1046