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http://dx.doi.org/10.5573/IEIESPC.2016.5.3.153

Recent Advances in Feature Detectors and Descriptors: A Survey  

Lee, Haeseong (Department of Image, Chung-Ang University)
Jeon, Semi (Department of Image, Chung-Ang University)
Yoon, Inhye (ADAS Camera Team, LG Electronics)
Paik, Joonki (Department of Image, Chung-Ang University)
Publication Information
IEIE Transactions on Smart Processing and Computing / v.5, no.3, 2016 , pp. 153-163 More about this Journal
Abstract
Local feature extraction methods for images and videos are widely applied in the fields of image understanding and computer vision. However, robust features are detected differently when using the latest feature detectors and descriptors because of diverse image environments. This paper analyzes various feature extraction methods by summarizing algorithms, specifying properties, and comparing performance. We analyze eight feature extraction methods. The performance of feature extraction in various image environments is compared and evaluated. As a result, the feature detectors and descriptors can be used adaptively for image sequences captured under various image environments. Also, the evaluation of feature detectors and descriptors can be applied to driving assistance systems, closed circuit televisions (CCTVs), robot vision, etc.
Keywords
Keypoints; Feature detection; Feature description; Image matching; Invariant features; Computational cost;
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