2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (2012)
Nov. 16, 2012 to Nov. 18, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAAI.2012.45
Corners play an important role in computer vision, such as curve fitting, optical inspection, image segmentation, object recognition, etc. In our previous work, we proposed a new boundary-based corner detection algorithm. In this paper, we will compare it with other methods by conducting a rigorous experiment to evaluate the performances of both the curvature measurement and the optimization procedure. The experimental results are rather promising, they show that our new algorithm outperforms other algorithms.
computer vision, curvature measurement, edge detection
W. Horng, C. Chen and C. Chen, "On the Robustness of a New Boundary-Based Corner Detection Algorithm," 2012 Conference on Technologies and Applications of Artificial Intelligence(TAAI), Tainan, Taiwan Taiwan, 2013, pp. 193-198.