A New Image Affine-invariant Region Detector and Descriptor

被引：0
|
作者：
Chen, Xiuxin [1 ]
Jia, Kebin [2 ]
Yu, Chongchong [1 ]
Wei, Shiang [1 ]
机构：
[1] Beijing Technol & Business Univ, Coll Comp & Informat Engn, Beijing 100048, Peoples R China
[2] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
来源：
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷
关键词：
region detector; region descriptor; affine invariant region; moment invariant;
D O I：
10.4028/www.scientific.net/AMM.130-134.2911
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
To solve the problems that exist in present affine-invariant region detection and description methods, a new affine-invariant region detector and descriptor are proposed in this paper. First, affine-invariant regions in an image are detected using a connected-region based method. And then a vector composed of a group of affine invariant moments is adopted to descript the regions. Experiments show the effectiveness and robustness of the method. It is also very fast.
引用
收藏
页码：2911 / +
页数：2
相关论文
共 50 条
  • [1] A New Approach for Affine-invariant Image Matching
    Chen, Wenlong
    Xiao, Baihua
    Wang, Chunheng
    ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 1019 - 1023
  • [2] A new affine-invariant image matching method based on SIFT
    Wang Peng-cheng
    Chen Qian
    Chen Hai-xin
    Cheng Hong-chang
    Gong Zhen-fei
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS, 2013, 8907
  • [3] Whitening central projection descriptor for affine-invariant shape description
    Lan, Rushi
    Yang, Jianwei
    Jiang, Yong
    Fyfe, Colin
    Song, Zhan
    IET IMAGE PROCESSING, 2013, 7 (01) : 81 - 91
  • [4] Affine-invariant image watermarking using the hyperbolic chirp
    Fletcher, Peter
    Larkin, Kieran
    Hardy, Stephen
    2009 DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA 2009), 2009, : 6 - 13
  • [5] Spatially-Sensitive Affine-Invariant Image Descriptors
    Bronstein, Alexander M.
    Bronstein, Michael M.
    COMPUTER VISION-ECCV 2010, PT II, 2010, 6312 : 197 - 208
  • [6] Affine-invariant image retrieval by correspondence matching of shapes
    Shen, DG
    Wong, WH
    Ip, HHS
    IMAGE AND VISION COMPUTING, 1999, 17 (07) : 489 - 499
  • [7] New features for affine-invariant shape classification
    Dionisio, CRP
    Kim, HY
    ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 2135 - 2138
  • [8] Fine-search for image copy detection based on local affine-invariant descriptor and spatial dependent matching
    Ling, Hefei
    Wang, Liyun
    Zou, Fuhao
    Yan, Weiqi
    MULTIMEDIA TOOLS AND APPLICATIONS, 2011, 52 (2-3) : 551 - 568
  • [9] Rotation and Affine-invariant SIFT Descriptor for Matching UAV Images with Satellite Images
    Zheng, Mingguo
    Wu, Chengdong
    Chen, Dongyue
    Meng, Zhexiu
    2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 2624 - 2628
  • [10] Fine-search for image copy detection based on local affine-invariant descriptor and spatial dependent matching
    Hefei Ling
    Liyun Wang
    Fuhao Zou
    Weiqi Yan
    Multimedia Tools and Applications, 2011, 52 : 551 - 568
12345