Robust Harris-Laplace Detector by Scale Multiplication

Authors:
Fanhuai Shi;Xixia Huang;Ye Duan
Affiliations:
Computer Science Department, University of Missouri-Columbia, USA and Welding Engineering Institute, Shanghai Jiao Tong University, China;Marine Technology & Control Engineering Key Lab, Shanghai Maritime University, China;Computer Science Department, University of Missouri-Columbia, USA
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Year:
2009

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Abstract

This paper proposes a robust Harris-Laplace detector by scale multiplication. The specific Harris corner measure functions at adjacent scales are multiplied as a product function to magnify the corner like structures, while suppress the image noise and weak features simultaneously. Unlike the contour-based multi-scale curvature product for image corner detection, we detect the corner like features directly in intensity image. Experiments on natural images demonstrate that the proposed method has good consistency of corner detection under different noise levels.