Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses

CVPR 2013 Byung-soo KimShili XuSilvio Savarese

In this paper we focus on the problem of detecting objects in 3D from RGB-D images. We propose a novel framework that explores the compatibility between segmentation hypotheses of the object in the image and the corresponding 3D map... (read more)

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