Implementation of the ScSPM Algorithm with MATLAB Code
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Resource Overview
This package provides MATLAB implementations of the ScSPM algorithm from the CVPR 2009 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification." The code includes functions for sparse coding-based feature extraction and pyramid matching operations.
Detailed Documentation
This package contains MATLAB code implementing the ScSPM algorithm as described in the CVPR 2009 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification." The algorithm employs sparse coding techniques to perform linear spatial pyramid matching for image classification tasks. Key components include dictionary learning for sparse representation, spatial pyramid construction with multiple scales, and linear SVM classification. The implementation features modular functions for feature extraction, codebook generation, and pyramid matching operations. Through this package, users can thoroughly understand and implement the algorithm described in the paper, and apply it to their own image classification projects. The code organization follows standard MATLAB practices with separate functions for each major algorithm step, including sparse coding optimization and pyramid match kernel computation.
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