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This paper proposes an efficient method to locate a three-dimensional object in cluttered environment. Model of the object is represented in a reference scale by the local features extracted from several reference images. A PCA-based hashing technique is introduced for accessing the database of reference features efficiently. Localization is performed in an estimated relative scale. Firstly, a pair...
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