Recognition of Shapes by Editing Shock Graphs

By Thomas B. Sebastian, Philip N. Klein, Benjamin B. Kimia. IEEE International Conference on Computer Vision, 2001

308 citations recorded by the source corpus.

How researchers see this paper

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Pictorial Structures for Object Recognition (2004, unknown): “Thissuggestscomparisonswithsilhouette-baseddeformable matching techniques (e.g., [18, 39 ]).”
A Generalized Kernel Approach to Dissimilarity-based Classification (2002, methodology): “For this purpose, we use the Kimia dataset (Sebastian et al., 2001) with binary shapes.”
Shape Priors for Level Set Representations (2002, background): “We are also thankful to T. Sebastian and B. Kimia from Brown University for providing their shape database [ 18 ].”
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition (2004, background): “We expect that the differences in the curve-based and shock-based metric would become more signiﬁcant with larger databases due to the superior discrimination capability of shock-based matching [36, 39].”
View-based 3-D object recognition using shock graphs (2002, background): “In recent work, Cyr and Kimia [2, 7] explore the important problem of how to partition the view sphere of a 3-”
A survey of content based 3D shape retrieval methods (2004, methodology): “[70] describe an approach to compute a pseudo-metric between shock graphs.”