Sparse Representations for Image Decompositions
作者:Davi Geiger, Tyng-Luh Liu, Michael J. Donahue
摘要
We are given an image I and a library of templates \({\mathcal{L}}\) , such that \({\mathcal{L}}\) is an overcomplete basis for I. The templates can represent objects, faces, features, analytical functions, or be single pixel templates (canonical templates). There are infinitely many ways to decompose I as a linear combination of the library templates. Each decomposition defines a representation for the image I, given \({\mathcal{L}}\) .
论文关键词:sparse representation, template matching, occlusion, recognition
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论文官网地址:https://doi.org/10.1023/A:1008146126392