nips nips2003 nips2003-53 nips2003-53-reference knowledge-graph by maker-knowledge-mining
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Author: Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila, Gabriel Berson
Abstract: We present and empirically test a novel approach for categorizing 3-D free form object shapes represented by range data . In contrast to traditional surface-signature based systems that use alignment to match specific objects, we adapted the newly introduced symbolic-signature representation to classify deformable shapes [10]. Our approach constructs an abstract description of shape classes using an ensemble of classifiers that learn object class parts and their corresponding geometrical relationships from a set of numeric and symbolic descriptors. We used our classification engine in a series of large scale discrimination experiments on two well-defined classes that share many common distinctive features. The experimental results suggest that our method outperforms traditional numeric signature-based methodologies. 1 1
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