D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

A successful point cloud registration often lies on robust establishment of sparse matches through discriminative 3D local features. Despite the fast evolution of learning-based 3D feature descriptors, little attention has been drawn to the learning of 3D feature detectors, even less for a joint lea...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 6358 - 6366
Main Authors:	Bai, Xuyang, Luo, Zixin, Zhou, Lei, Fu, Hongbo, Quan, Long, Tai, Chiew-Lan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2020
Subjects:	Convolution Detectors Feature extraction Kernel Three-dimensional displays Training Two dimensional displays
ISSN:	1063-6919
Online Access:	Get full text
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