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In this paper we introduce two novel methods for object recognition from video. Our major contributions are (i) the use of dense, overlapping local descriptors as means of accurately capturing the appearance of generic, even untextured objects, (ii) a framework for employing such sets for recognition using video, (iii) a detailed empirical examination of different aspects of the proposed model and...
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