Deformable prototypes for encoding shape categories in image databases
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摘要
An image database search method is described that uses strain energy from prototypes to represent shape categories. Rather than directly comparing a candidate shape with all entries in a database, shapes are ordered in terms of non-rigid deformations that relate them to a small subset of representative prototypes. Shape correspondences are obtained via modal matching, a decomposition for matching, describing, and comparing shapes despite sensor variations and non-rigid deformations. Deformation is decomposed into an ordered basis of orthogonal principal components. This allows selective invariance to in-plane rotation, translation, and scaling, and quasi-invariance to affine deformations. Retrieval accuracy and stability are evaluated in experiments with 2-D image databases.
论文关键词:Object recognition,Energy-based shape models,Image database search,Deformable templates,Linear combinations,Shape categories,Modal matching
论文评审过程:Received 15 May 1996, Revised 12 June 1996, Accepted 30 July 1996, Available online 7 June 2001.
论文官网地址:https://doi.org/10.1016/S0031-3203(96)00108-2