I want to use bag-of-word feature on image classification, and how to visualize the codebook? I use keypoint-sift then kmeans to do clustering. e.g., http://fias.uni-frankfurt.de/~triesch/courses/260object/papers/Fei-Fei_CVPR2005.pdf (figure 4)
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The 174-word codebook is visualized by a patch. The paper mentioned they used two types of representation, one is 11*11 pixel patch and the other is SIFT descriptors. Fig 4 is a result based on the former presentation after a k-means clustering. They cannot visualize a codebook based on SIFT (a wired image as 174*128 ). Of course, we can get the closest SIFT in query and visualize a patch around corresponding keypoint. Hope it helps.

thunderY
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