Object recognition and localisation from 3D point clouds by maximum likelihood estimation

We present an algorithm based on maximum likelihood analysis for the automated recognition of objects, and estimation of their pose, from 3D point clouds. Surfaces segmented from depth images are used as the features, unlike ‘interest point’ based algorithms which normally discard such data. Compare...

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Bibliographic Details

Main Authors:	Harshana Dantanarayana, Jonathan Huntley
Format:	Default Article
Published:	2017
Subjects:	Mechanical engineering not elsewhere classified Fringe projection 3D scanning Pose estimation Object recognition Industrial inspection Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26062
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