1 research outputs found
Benchmarking KAZE and MCM for Multiclass Classification
In this paper, we propose a novel approach for feature generation by
appropriately fusing KAZE and SIFT features. We then use this feature set along
with Minimal Complexity Machine(MCM) for object classification. We show that
KAZE and SIFT features are complementary. Experimental results indicate that an
elementary integration of these techniques can outperform the state-of-the-art
approaches