Point Cloud Labeling using 3D Convolutional Neural Network

被引：0

作者：

Huang, Jing ^{[1
]}

You, Suya ^{[1
]}

机构：

[1] Univ Southern Calif, Los Angeles, CA 90089 USA

来源：

2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we tackle the labeling problem for 3D point clouds. We introduce a 3D point cloud labeling scheme based on 3D Convolutional Neural Network. Our approach minimizes the prior knowledge of the labeling problem and does not require a segmentation step or hand-crafted features as most previous approaches did. Particularly, we present solutions for large data handling during the training and testing process. Experiments performed on the urban point cloud dataset containing 7 categories of objects show the robustness of our approach.

引用

页码：2670 / 2675

页数：6

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