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6D Object Pose Regression via Supervised Learning on Point Clouds

ICRA, pp.3643-3649, (2020)

Cited by: 5|Views34
EI

Abstract

This paper addresses the task of estimating the 6 degrees of freedom pose of a known 3D object from depth information represented by a point cloud. Deep features learned by convolutional neural networks from color information have been the dominant features to be used for inferring object poses, while depth information receives much les...More

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Author
Gao Ge
Gao Ge
Wang Yulong
Wang Yulong
Zhang Jianwei
Zhang Jianwei
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