Study on a Real-Time Corner Detection Algorithm

Yong Fang Guo; Ming Yu; Yi Cai Sun

doi:10.4028/www.scientific.net/AMR.159.192

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159Study on a Real-Time Corner Detection Algorithm

Study on a Real-Time Corner Detection Algorithm

Abstract:

Conventional Harris corner detector is a desirable detector but it requires significantly more computation time. For MIC detector proposed by Trajkovic, the minimal computational demands of its operator make it well-suited for real-time applications, however the Trajkovic’s operator responses too readily to certain diagonal edges. For this reason, the paper proposed a new corner detection algorithm. The new corner detection algorithm adopted multigrid algorithm and preprocessed the lower resolution revision of the original image to obtain the potential corners, subsequently used autocorrelation matrix to get the corner response function for the corresponding points of the potential corner. The test results indicate the new corner detection algorithm can decrease edge responses and the number of textural corners effectively. Furthermore, it can satisfy the demands of real-time applications.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

192-197

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.192

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Online since:

December 2010

Authors:

Yong Fang Guo, Ming Yu, Yi Cai Sun

Keywords:

Harris Corner Detector, MIC Detector, Multigrid Algorithm, Real-Time Demands

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