Title:
Subpattern-based_principal___component_analysis.zi
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Description: Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image set to use PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification.
- [finalblock] - Image sub-blocks, each block calculated
- [DoGfilters] - DoG (Difference of Gaussian) filtering o
- [www.image2003.com] - An image block compression algorithm bas
- [sichashufenjie] - Several simple quadtree decomposition pr
- [jpeg] - jpeg compression matlab procedures, incl
- [NearestNeighbor] - Matlab achieved by nearest neighbor algo
- [facerecognition] - This article introduced the Subspace Fac
- [fenkuai] - In matlab the original image under the s
- [sift-match] - sift feature point extraction code and t
- [harris] - In the fields of computer vision and ima
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Subpattern-based_principal___component_analysis.pdf
