Frustum PointNets for 3D Object Detection from RGB-D Data

In this work, we study 3D object detection from RGBD data in both indoor and outdoor scenes. While previous methods focus on images or 3D voxels, often obscuring natural 3D patterns and invariances of 3D data, we directly operate on raw point clouds by popping up RGB-D scans. However, a key challeng...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 918 - 927
Main Authors:	Qi, Charles R., Liu, Wei, Wu, Chenxia, Su, Hao, Guibas, Leonidas J.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Detectors Image segmentation Object detection Proposals Three-dimensional displays Two dimensional displays
ISSN:	1063-6919
Online Access:	Get full text
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