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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 modelsdoi:10.1109/cvpr.2007.383018 dblp:conf/cvpr/FelzenszwalbS07 fatcat:ib726o3tvfdmpb7mpdubcuimwq