3D model estimation using a single RGB-D image

Abstract

Model estimation is important for robotic grasping. Since in order to make a decision about how to grasp the object, the robot should know where the target is and what it looks like. In this paper we propose a method of 3D model estimation using a single RGB-D image. The target object is segmented out from background using RANSAC and convex hull algorithm… (More)
DOI: 10.1109/ICMLC.2012.6359523

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Cite this paper

@article{Li20123DME, title={3D model estimation using a single RGB-D image}, author={Ricky Jun-Bo Li and Rong-Hua Luo and Hua-Qing Min}, journal={2012 International Conference on Machine Learning and Cybernetics}, year={2012}, volume={3}, pages={1182-1187} }