Corner detection in digital images using fuzzy reasoning

Corner detection plays an important role in computer vision as well as in 3D reconstruction of a scene. With the help of the corners we can determine the most characteristic points of an object and so reconstruct them. Corners are useful in case of pattern recognition, as well. In this paper a new corner detection scheme is introduced which is based on fuzzy reasoning and applies a special local structure matrix

[1]  Jitendra Malik,et al.  Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.

[2]  Hanqi Zhuang,et al.  Corner detection by a cost minimization approach , 1993, Pattern Recognit..

[3]  Fabrizio Russo Recent advances in fuzzy techniques for image enhancement , 1998, IEEE Trans. Instrum. Meas..

[4]  E. Grossmann,et al.  Single and Multi-View Reconstruction of Structured Scenes , 2002 .

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

[6]  Annamária R. Várkonyi-Kóczy,et al.  3D model estimation from multiple images , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[7]  P. Lions,et al.  Image selective smoothing and edge detection by nonlinear diffusion. II , 1992 .

[8]  F. Russo Fuzzy filtering of noisy sensor data , 1996, Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Tec.

[9]  S. M. Steve SUSAN - a new approach to low level image processing , 1997 .