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Performance Analysis of Feature Detection Methods for Topology-Based Feature Description  

Park, Han-Hoon (부경대학교)
Moon, Kwang-Seok (부경대학교 전자공학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.16, no.2, 2015 , pp. 44-49 More about this Journal
Abstract
When the scene has less texture or when camera pose largely changes, the existing texture-based feature tracking methods are not reliable. Topology-based feature description methods, which use the geometric relationship between features such as LLAH, is a good alternative. However, they require feature detection methods with high performance. As a basic study on developing an effective feature detection method for topology-based feature description, this paper aims at examining their applicability to topology-based feature description by analyzing the repeatability of several feature detection methods that are included in the OpenCV library. Experimental results show that FAST outperforms the others.
Keywords
Topology-based Feature Description; Feature Detection with high Repeatability Fates; FAST; LLA;
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