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Hierarchical Matching of Deformable Shapes
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierarchical description of an object's boundary and can be used in an elastic matching framework, both for comparing pairs of objects and for detecting objects in cluttered images. In contrast to classical elastic models, our representation explicitly captures global shape information. This leads to richer geometric models
doi:10.1109/cvpr.2007.383018
dblp:conf/cvpr/FelzenszwalbS07
fatcat:ib726o3tvfdmpb7mpdubcuimwq