Abstract
The detection and matching of feature points is crucial in many computer vision systems. Successful establishing of points correspondences between concurrent frames is important in such tasks as visual odometry, structure from motion or simultaneous localization and mapping. This paper compares of the performance of the well established, single scale detectors and descriptors and the increasingly popular, multi-scale approaches. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Schmidt, A., Kraft, M., & Kasiński, A. (2010). An evaluation of image feature detectors and descriptors for robot navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6375 LNCS, pp. 251–259). https://doi.org/10.1007/978-3-642-15907-7_31
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