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Visual Categorization with Bag of Keypoints

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Presentation on theme: "Visual Categorization with Bag of Keypoints"— Presentation transcript:

1 Visual Categorization with Bag of Keypoints
Gabriella Csurka Christopher R. Dance Lixin Fan Jutta Willamowski Cedric Brays Presented by Jason Yosinski, Yun-hsueh Liu

2 SIFT Descriptors

3 Cluster SIFT Descriptors
Clusters k=200 Clusters k=20

4 Keypoints Histogram

5 Classifiers Testing Training

6 Classifier – Naïve Bayes
Classifying 39 test images using Bayes classifier (0.6 seconds). confusion matrix Correctness ratio: 54%

7 Classifier – Nearest Neighbor
Training nearest classifier (0.0 seconds). Classifying 39 test images using nearest classifier (0.1 seconds). confusion matrix Correctness ratio: 59%

8 Classifier -- FLD Still working on this part…..
Have problem in doing ROC curves; we can’t get it working


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