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Stopping Rules for Bag-of-Words Image Search and Its Application in Appearance-Based Localization
We introduce a notion of difficulty for the image matching problems and propose methods that reduce the amount of computations required for the feature vector-quantization task in BoW by exploiting the fact that easier queries need less computational resources.
An Efficient Index for Visual Search in Appearance-based SLAM
Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large.
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