Object Class Recognition Using Discriminative Local Features

@inproceedings{Dork2005ObjectCR,
  title={Object Class Recognition Using Discriminative Local Features},
  author={Gyuri Dork{\'o} and Cordelia Schmid},
  year={2005}
}
In this paper, we introduce a scale-invariant feature selection method that learns to recognize and detect object classes from images of natural scenes. The first step of our method consists of clustering local scale-invariant descriptors to characterize object class appearance. Next, we train part classifiers on the groups, and perform feature selection to determine the most discriminative parts. We use local regions to realize robust and sparse part and texture selection invariant to changes… CONTINUE READING
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