Robust Corner Detector Based on Local Maximum and Minimum Differences

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Yazdi Reza; KHOTANLOU HASSAN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

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Title

Robust Corner Detector Based on Local Maximum and Minimum Differences

Author(s)

Yazdi Reza | KHOTANLOU HASSAN

Keywords

Corner Detection

Corner Points

Corners

Keypoint Detection

Abstract

In computer vision applications, Corners are often regarded as desirable features due to their simplicity and low coordination requirements. Traditional intensity-based algorithms identify Corners by examining the intensity relationship between neighboring and local regions, as well as the derivative information. Most detectors that solely utilize intensity information were developed before 2000, with FAST being an exception. Our approach is a new intensity-based corner detector that stands out by relying solely on pixel intensity for Corner Detection. We accomplish this by employing an innovative corner response function. Our method identifies corner locations by solely considering intensity values within a 3×3 neighborhood. By sorting pixels based on intensity and calculating the difference between one-third of the largest and smallest values, we generate a highly effective corner response map with strong discriminatory capabilities. Experimental evaluation on benchmark images demonstrates the superiority of our detector compared to seven established methods. Our method achieves better accuracy in corner localization and reduces both missed Corner Detections and false positives. Also, it requires only one parameter for adjustment, making it computationally efficient and allows for real-time processing potential. Furthermore, the generated corner response map holds promise for integration with deep learning architectures, opening possibilities for further exploration.

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APA: Copy

Yazdi, Reza, & KHOTANLOU, HASSAN. (2024). Robust Corner Detector Based on Local Maximum and Minimum Differences. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147368/en

Vancouver: Copy

Yazdi Reza, KHOTANLOU HASSAN. Robust Corner Detector Based on Local Maximum and Minimum Differences. 2024. Available from: https://sid.ir/paper/1147368/en

IEEE: Copy

Reza Yazdi, and HASSAN KHOTANLOU, “Robust Corner Detector Based on Local Maximum and Minimum Differences,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147368/en

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