Hierarchical Matching of Deformable Shapes

Pedro F. Felzenszwalb, Joshua D. Schwartz
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
more » ... nd more accurate recognition results. Our experiments demonstrate classification results that are significantly better than the current stateof-the-art in several shape datasets. We also show initial experiments in matching shapes to cluttered images.
doi:10.1109/cvpr.2007.383018 dblp:conf/cvpr/FelzenszwalbS07 fatcat:ib726o3tvfdmpb7mpdubcuimwq