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This paper proposes an object verification method by using sparse representation (SR) which has been applied for object representation and recognition. However, SR dictionary does not show sufficient compactness. Our method comprises three major modules. First, we train the sparse matrix by using boost K-Singular Value Decomposition (boost K-SVD) to obtain a sparse vector set. Second, we combine two...
This paper proposes an object verification method in two different views by using sparse representation. The proposed method contains three major modules. First, we train the sparse matrix by using K-Singular Valued Decomposition (K-SVD) and the maximum correlation training sample selection. Second, we project the training samples onto the sparse matrix to obtain the parse vector training set. Third,...
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