Summary
Objects can be identified in images extracting local image descriptors for interesting regions. In this paper, instead of making the handle identification process rely in the keypoint detection/matching process only, we present a method that first extracts from the image a region of interest (ROI) that with high probability contains the handle. This subimage is then processed by the keypoint detection/matching algorithm. Two methods for extracting the ROI are compared, Circle Hough Transform (CHT) and blobs, and combined with three descriptor extraction methods: SIFT, SURF and USURF.
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Jauregi, E., Lazkano, E., Martínez-Otzeta, J.M., Sierra, B. (2008). Visual Approaches for Handle Recognition. In: Bruyninckx, H., Přeučil, L., Kulich, M. (eds) European Robotics Symposium 2008. Springer Tracts in Advanced Robotics, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78317-6_32
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DOI: https://doi.org/10.1007/978-3-540-78317-6_32
Publisher Name: Springer, Berlin, Heidelberg
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