Comparing Cornerness Measures for Interest Point Detection

Interest point detection is used in many computer vision applications that require fast and efficient feature matching. For tasks such as robot localisation and navigation, the use of interest points for matching is preferred over edges or other, larger, features. Recently, finite-element based methods have been used to develop gradient operators for edge and interest point detection. We extend this work to alternative corner detection measures and provide a comparative evaluation of some different techniques.

[1]  Wang Li,et al.  Mouth Detection Based on Interest Point , 2006, 2007 Chinese Control Conference.

[2]  Md. Saiful Islam,et al.  Matching interest points of an object , 2005, IEEE International Conference on Image Processing 2005.

[3]  Qing Wang,et al.  A Novel Approach for Interest Point Detection Based on Phase Congruency , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

[4]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Ivan Laptev,et al.  On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[6]  Hans P. Morevec.  Towards automatic visual obstacle avoidance , 1977, IJCAI 1977.

[7]  Peter Rockett,et al.  Performance assessment of feature detection algorithms: a methodology and case study on corner detectors , 2003, IEEE Trans. Image Process..

[8]  Cordelia Schmid,et al.  Comparing and evaluating interest points , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[9]  Bryan W. Scotney,et al.  Concurrent Edge and Corner Detection , 2007, 2007 IEEE International Conference on Image Processing.

[10]  Bryan W. Scotney,et al.  Improving angular error via systematically designed near-circular Gaussian-based feature extraction operators , 2007, Pattern Recognit..

[11]  Irwin Edward Sobel,et al.  Camera Models and Machine Perception , 1970 .

[12]  Huimin Ma,et al.  Accurate Tracking Based on Interest Points in the Infrared Imaging Guidance , 2005, 2005 International Conference on Neural Networks and Brain.

[13]  B. S. Manjunath,et al.  A Mathematical Comparison of Point Detectors , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[14]  Cordelia Schmid,et al.  Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.

[15]  J. Alison Noble,et al.  Finding Corners , 1988, Alvey Vision Conference.

[16]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[17]  David Suter,et al.  Assessing the performance of corner detectors for point feature tracking applications , 2004, Image Vis. Comput..

[18]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[19]  Hans P. Moravec.  Towards Automatic Visual Obstacle Avoidance , 1977, IJCAI.

[20]  Bryan W. Scotney,et al.  Integrated Edge and Corner Detection , 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

[21]  Hongbin Zha,et al.  Combining interest points and edges for content-based image retrieval , 2005, IEEE International Conference on Image Processing 2005.

[22]  Kosuke Sato,et al.  Real-time gesture recognition by learning and selective control of visual interest points , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.