Effect of Salient Features in Object Recognition
نویسندگان
چکیده
With the SIFT and SURF based recognition, the paper presents the impact of salient features in object recognition. We use the two well-known image descriptors in the bag of words framework on five online available standard datasets. Experiments show that by introducing saliency in the bag of words model, state-of-the-art performance can still be retained while reducing considerable amount of data processing and thus achieving faster execution times. Refer ences C. Schmid and R. Mohr. "Local greyvalue invariants for image retrieval. "
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