TransHist: Occlusion-robust shape detection in cluttered images

Chu Han
Chu Han
Lok Tsun Sinn
Lok Tsun Sinn

Computational Visual Media, Volume 4, Issue 2, 2018, Pages 161-172.

Cited by: 0|Views22
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Abstract:

Shape matching plays an important role in various computer vision and graphics applications such as shape retrieval, object detection, image editing, image retrieval, etc. However, detecting shapes in cluttered images is still quite challenging due to the incomplete edges and changing perspective. In this paper, we propose a novel approac...More

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