Image feature detection as robust model fitting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3852 LNCS, Issue , 2006, Pages 673-682

  Chai, Dengfeng ^a,b   Peng, Qunsheng ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER SIMULATION; FEATURE EXTRACTION; PARAMETER ESTIMATION; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

FEATURE DETECTION; PIXELS; ROBUST MODEL FITTING PROBLEM;

IMAGE ANALYSIS;

EID: 33744903643     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11612704_67     Document Type: Conference Paper

References (14)

1. Boldt, M., Weiss, R., Riseman, E.: Token-based extraction of straight lines. IEEE Trans. System, Man, Cybernet 19 (1989) 1581-1594
2. Nacken, P.: A metric for line segments. IEEE TPAMI 15 (1993) 1312-1318
3. Illingworth, J., Kittler, J.: Survey: Survey of the hough transforms. Computer Vision, Graphics, and Image Processing 44 (1988) 87-116
4. Leavers, V.: Survey: Which hough transform. Computer Vision, Graphics, and Image Processing: Image Understanding 58 (1993) 250-264
5. Kiryati, N., Eldar, Y., Bruckstein, A.: A probabilistic hough transform. Pattern Recognition 24 (1991) 303-316
6. Xu, L., Oja, E., Kultanan, P.: A new curve detection method: Randomized hough transforms (rht). Pattern Recognition Letters 11 (1990) 331-338
7. Matas, J., Galambos, C., Kittler, J.: Progressive probabilistic hough transform. In: Proc. British Machine Vision Conference. (1998)
8. Chen, T., Chung, K.: A new randomized algorithm for detecting lines. Real-Time Imaging 7 (2001) 473-481
9. Chen, T., Chung, K.: An efficient randomized algorithm for detecting circles. Computer Vision and Image Understanding 83 (2001) 172-191
10. Zhang, Z.: Parameter estimation techniques: A tutorial with application to conic fitting. Image and Vision Computing 15 (1997) 59-76
11. Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. ACM Commun. Assoc. Comp. Mach. 24 (1981) 381-395
12. Bresenham, J.: Algorithm for computer control of a digital plotter. IBM System Journal 4 (1965) 25-30
13. Rousseeuw, P.J.: Robust Regression and Outlier Detection. Wiley, New York (1987)
14. Rogers, D.F.: Procedural Elements for Computer Graphics. McGraw-Hill (1998)