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Patch-Duplets for Object Recognition and Pose Estimation
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.58The 2nd Canadian Conference on Comput ...
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Bj? Johansson, Link?ping University, Sweden
Anders Moe, Link?ping University, Sweden
This paper describes a view-based method for object recognition and estimation of object pose from a single image. The method is based on feature vector matching and clustering. A set of interest points is detected and combined into pairs. A pair of patches, centered around each point in the pair, is extracted from a local orientation image. The patch orientation and size depends on the relative positions of the points, whichmake them invariant to translation, rotation, and locally invariant to scale. Each pair of patches constitutes a feature vector. The method is demonstrated on a number of real images and the patch-duplet feature is compared to the SIFT feature.
Index Terms:
Object recognition, object pose estimation, local image descriptors
Citation:
Bj? Johansson, Anders Moe, "Patch-Duplets for Object Recognition and Pose Estimation," crv, pp.9-16, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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