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In this paper, we propose a novel approach for feature generation byappropriately fusing KAZE and SIFT features. We then use this feature set alongwith Minimal Complexity Machine(MCM) for object classification. We show thatKAZE and SIFT features are complementary. Experimental results indicate that anelementary integration of these techniques can outperform the state-of-the-artapproaches.

Benchmarking KAZE and MCM for Multiclass Classification