基于改进多尺度乘积LoG算子的仿射不变形状匹配算法
Affine-invariant shape matching algorithm based on modified multi-scale product Laplacian of Gaussian operator
查看参考文献14篇
|
文摘
|
目标在成像过程中发生的几何变形多数情况下可用仿射变换来描述。据此,提出一种利用角点进行仿射不变形状匹配的算法。首先引入多尺度乘积LoG(MPLoG)算子检测轮廓角点,并根据角点间距自适应地提取轮廓特征点,从而获取形状关键特征;为解决目标的仿射变形问题,采用Grassmann流形Gr(2,n)来表征和度量两形状之间的相似度;最后通过迭代式序列移位匹配算法来克服Grassmann流形对起始点的依赖并完成形状的匹配。对形状数据进行仿真实验的结果表明,所提算法能够有效地实现形状检索和识别,并对噪声有较强的鲁棒性。 |
|
其他语种文摘
|
Geometric transforms of the object in the imaging process can be represented by affine transform in most situations. Therefore, a method for shape matching using corners was proposed. Firstly, the corner of contour using Multi-scale Product Laplacian of Gaussian (MPLoG) operator was detected, and the feature points based on corner interval were adaptively extracted to obtain the key feature of shape. In order to cope with affine transform, the similarity of two shapes on Grassmann manifold Gr(2,n) were represented and measured. Finally, the iterative sequence shift matching was adopted for overcoming the dependency of Grassmann manifold on the starting point, and achieving shape matching. The proposed algorithm was tested on the database of shapes. The simulation results show that the proposed method can achieve shape recognition and retrieval effectively, and it has strong robustness against noise. |
|
来源
|
计算机应用
,2014,34(3):841-845,883 【核心库】
|
|
关键词
|
多尺度乘积LoG算子
;
角点检测
;
Grassmann流形
;
迭代式序列移位
;
形状匹配
|
|
地址
|
1.
中国科学院沈阳自动化研究所, 沈阳, 110016
2.
中国科学院沈阳自动化研究所, 中国科学院光电信息处理重点实验室, 沈阳, 110016
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1001-9081 |
|
学科
|
自动化技术、计算机技术 |
|
文献收藏号
|
CSCD:5082571
|
参考文献 共
14
共1页
|
|
1.
Belongie S. Shape matching and object recognition using shape contexts.
IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(4):509-522
|
被引
404
次
|
|
|
|
|
2.
Alajlan N. Shape retrieval using triangle area representation and dynamic space warping.
Pattern Recognition,2007,40(7):1911-1920
|
被引
40
次
|
|
|
|
|
3.
Adamek T. A multi-scale representation method for nonrigid shapes with a single closed contour.
IEEE Transactions on Circuits and Systems for Video Technology,2004,14(5):742-753
|
被引
27
次
|
|
|
|
|
4.
El Rube I A. Coarse-to-fine multiscale affine invariant shape matching and classification.
Proceedings of the 17th International Conference on Pattern Recognition,2004:163-166
|
被引
1
次
|
|
|
|
|
5.
Li W J. Hopfield neural networks for affine invariant matching.
IEEE Transactions on Neural Networks,2001,12(6):1400-1410
|
被引
2
次
|
|
|
|
|
6.
刘云鹏. 基于Grassmann流形的仿射不变形状识别.
自动化学报,2012,38(2):248-258
|
被引
5
次
|
|
|
|
|
7.
杨丹. 轮廓曲线的LoG变换及图像共变区域的检测.
自动化学报,2010,36(6):817-822
|
被引
3
次
|
|
|
|
|
8.
林小泽. 基于轮廓的旋转和尺度不变区域的检测.
计算机应用研究,2012,29(5):1951-1958
|
被引
1
次
|
|
|
|
|
9.
Edelman A. The geometry of algorithms with orthogonality constraints.
SIAM Journal on Matrix Analysis and Applications,1999,20(2):303-353
|
被引
47
次
|
|
|
|
|
10.
Zheng L. Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel.
IEEE Transactions on Information Theory,2002,48(2):359-383
|
被引
12
次
|
|
|
|
|
11.
Latecki L J. Shape descriptors for non-rigid shapes with a single closed contour.
Proceedings of the 2000 IEEE Conference on Computer Vision and Pattern Recognition,2000:424-429
|
被引
4
次
|
|
|
|
|
12.
Attalla E. Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching.
Pattern Recognition,2005,38(12):2229-2241
|
被引
19
次
|
|
|
|
|
13.
Daliri M R. Robust symbolic representation for shape recognition and retrieval.
Pattern Recognition,2008,41(5):1782-1798
|
被引
24
次
|
|
|
|
|
14.
Thoum K. Affine invariant shape recognition based on multi-level of barycenter contour.
ISCIT 2008: Proceedings of the 2008 International Symposium on Communications and Information Technologies,2008:145-149
|
被引
1
次
|
|
|
|
|
了解气象卫星更多信息，请访问