Detecting and matching feature points

被引:27
作者
Vincent, E [1 ]
Laganière, R [1 ]
机构
[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
关键词
feature point; corner detection; feature-based matching; widely separated view matching;
D O I
10.1016/j.jvcir.2004.05.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new feature point detector which uses a wedge model to characterize corners by their orientation and angular width. This detector is compared to two popular feature point detectors: the Harris and SUSAN detectors, on the basis of some defined quality attributes. It is also shown how feature points between widely separated views can be matched by using the information provided by the detector to approximate local affine transformations between them. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:38 / 54
页数:17
相关论文
共 23 条
[1]  
Baumberg A, 2000, PROC CVPR IEEE, P774, DOI 10.1109/CVPR.2000.855899
[2]   ACCURACY OF LAPLACIAN EDGE DETECTORS [J].
BERZINS, V .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1984, 27 (02) :195-210
[3]   IMAGE COMPRESSION USING BLOCK TRUNCATION CODING [J].
DELP, EJ ;
MITCHELL, OR .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1979, 27 (09) :1335-1342
[4]  
Deriche R., 1993, Proceedings. 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.93CH3309-2), P530, DOI 10.1109/CVPR.1993.341079
[5]  
DERICHE R, 1994, LECT NOTES COMPUTER, V800, P567
[6]   RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY [J].
FISCHLER, MA ;
BOLLES, RC .
COMMUNICATIONS OF THE ACM, 1981, 24 (06) :381-395
[7]   CORNER CHARACTERIZATION BY DIFFERENTIAL GEOMETRY TECHNIQUES [J].
GUIDUCCI, A .
PATTERN RECOGNITION LETTERS, 1988, 8 (05) :311-318
[8]  
Harris C., 1988, Alvey Vis. Conf., V15, P10, DOI DOI 10.5244/C.2.23
[9]  
Hartley R., 2000, MULTIPLE VIEW GEOMET
[10]  
Jung IK, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS, P538, DOI 10.1109/ICCV.2001.937672