2019
Pruning SIFT & SURF for Efficient Clustering of Near-duplicate Images
ICASSP 2019accepted
Clustering and categorization of similar images using SIFT and SURF require a high computational cost. In this paper, a simple approach to reduce the cardinality of keypoint set and prune the dimension of SIFT and SURF feature descriptors for efficient image clustering is proposed. For this purpose,…