Abstract：There is no parametric formulation of corner feature. Therefore, the conventional Hough transform can not be employed to transform the corner detection into maximum search in parametric space. A randomized Hough transform in Monte Carlo framework is presented, which detects the corner by searching for the local maximum in the intersection point cumulative space instead of parametric space. The intersection point cumulative space is a concept based on the fact that the corner is the intersection point of two lines. The proposed algorithm is demonstrated and the computing procedures are given. The proposed algorithm is isotropic, robust to image rotation, insensitive to noise and not susceptible to diagonal edge. Experimental results show that it outperforms Harris detector, Shen Wang algorithm, and SIFT feature detection algorithm.
[1] Zhong Baojiang, Liao Wenhe. Direct Curvature Scale Space: Theory and Corner Detection. IEEE Trans on Pattern Analysis and Machine Intelligence, 2007, 29(3): 508-512 [2] Mediono G, Yasumoto Y. Corner Detection and Curve Representation Using Cubic B-Splines. Computer Vision, Graphics and Image Processing, 1987, 39(3): 267-278 [3] Langridge D J. Curve Encoding and the Detection of Discontinuities. Computer Graphics and Image Processing, 1982, 20(1): 58-71 [4] Moravec H P. Towards Automatic Visual Obstacle Avoidance // Proc of the 5th International Joint Conference on Artificial Intelligence. Cambridge, USA, 1977: 584 [5] Harris C, Stephens M. A Combined Corner and Edge Detector // Proc of the 4th Alvey Vision Conference. Manchester, UK, 1988: 147-151 [6] Smith S M, Brady M. SUSAN-A New Approach to Low Level Image Processing. International Journal of Computer Vision, 1997, 23(1): 45-78 [7] Trajkovic M, Hedley M. Fast Corner Detection. Image and Vision Computing, 1998, 16(2): 75-87 [8] Shen Fei, Wang Han. Corner Detection Based on Modified Hough Transform. Pattern Recognition Letters, 2002, 23(8): 1039-1049 [9] Sung K K, Young C C, Park J A. Image Corner Detection Using Hough Transform // Proc of the 2nd Iberian Conference on Pattern Recognition and Image Analysis. Estoril, Portugal, 2005: 279-286 [10] Cai Zhenjiang, Wang Yu, Zhang Juan. Corner Detecting Method Based on Hough Transform and Intensity Gradient. Transaction of Beijing Institute of Technology, 2005, 25(9): 796-799 (in Chinese) (蔡振江,王 渝,张 娟.采用Hough变换和灰度变化的图像角点检测法.北京理工大学学报, 2005, 25(9): 796-799) [11] Asada H, Brady M. The Curvature Primal Sketch. IEEE Trans on Pattern Analysis and Machine Intelligence, 1986, 8(1): 2-14 [12] Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 2004, 60(2): 91-110
2011, Vol. 24 
