A Novel Tiny Object Recognition Algorithm Based on Unit Statistical Curvature Feature
نویسندگان
چکیده
Application • A novel image feature descriptor, unit statistical curvature feature (USCF), is proposed based on the statistics of unit curvature distribution to represent the local general invariant features of the image texture. • USCF algorithm had high recognition rate for object images in any size including tiny object images. • USCF is invariant to rotation and linear illumination variation, and is partially invariant to viewpoint variation.
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