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ECCV
2010
Springer

Using Partial Edge Contour Matches for Efficient Object Category Localization

9 years 4 months ago
Using Partial Edge Contour Matches for Efficient Object Category Localization
Abstract. We propose a method for object category localization by partially matching edge contours to a single shape prototype of the category. Previous work in this area either relies on piecewise contour approximations, requires meaningful supervised decompositions, or matches coarse shape-based descriptions at local interest points. Our method avoids error-prone pre-processing steps by using all obtained edges in a partial contour matching setting. The matched fragments are efficiently summarized and aggregated to form location hypotheses. The efficiency and accuracy of our edge fragment based voting step yields high quality hypotheses in low computation time. The experimental evaluation achieves excellent performance in the hypotheses voting stage and yields competitive results on challenging datasets like ETHZ and INRIA horses.
Hayko Riemenschneider, Michael Donoser, and Horst
Added 02 Aug 2010
Updated 02 Sep 2010
Type Conference
Year 2010
Where ECCV
Authors Hayko Riemenschneider, Michael Donoser, and Horst Bischof
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