PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessarily voluminous and causes issues. In this paper, we design a novel type of neural...

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Veröffentlicht in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 77 - 85
Hauptverfasser:	Charles, R. Qi, Hao Su, Mo Kaichun, Guibas, Leonidas J.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2017
Schlagworte:	Computer architecture Feature extraction Machine learning Semantics Shape Three-dimensional displays
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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