Title :
Search by shape examples: modeling nonrigid deformation
Author :
Sclaroff, Stan ; Pentland, Alex P.
Author_Institution :
Dept. of Comput. Sci., Boston Univ., MA, USA
fDate :
31 Oct-2 Nov 1994
Abstract :
We describe our work on shape-based image database search using the technique of modal matching. Modal matching employs a deformable shape decomposition that allows users to select example objects and have the computer efficiently sort the set of objects based on the similarity of their shape. Shapes are compared in terms of the types of nonrigid deformations (differences) that relate them. The modal decomposition provides deformation “control knobs” for flexible matching and thus allows for selecting weighted subsets of shape parameters that are deemed significant for a particular category or context. We demonstrate the utility of this approach for shape comparison in 2-D image databases; however the general formulation is applicable to signals of any dimensionality
Keywords :
visual databases; 2-D image databases; flexible matching; image database search; modal matching; nonrigid deformation; shape-based image database; Computer science; Deformable models; Equations; Finite element methods; Humans; Image databases; Matrix decomposition; Physics computing; Predictive models; Shape;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471676