Development of a GUI-based Operation System for Building a 3D Point Cloud Classifier

Q2 Arts and Humanities
Y. Tanifuji, K. Kawabata, Toshihide Hanari
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引用次数: 1

Abstract

This paper describes a Graphical User Interface (GUI) based operation system for building a classifier based on deep learning and verifying its categorization performance. Currently, we build a structure discrimination method based on deep learning with 3D point cloud to support status awareness of the operator of remotely controlled robot. For building a powerful classifier, the operations like “collection of learning data”, “construction of architecture” and “creation of learning model” are done by trial and error. Therefore, we consider to develop a system to make such complicated operations easier and more efficiently. In this paper, we describe about required functions for helping such operations and explain developed a prototype system in detail.
基于gui的三维点云分类器构建操作系统的开发
本文描述了一个基于图形用户界面(GUI)的操作系统,用于构建基于深度学习的分类器并验证其分类性能。目前,我们利用三维点云构建了一种基于深度学习的结构识别方法,以支持遥控机器人操作者的状态感知。为了构建一个强大的分类器,“学习数据的收集”、“架构的构建”、“学习模型的创建”等操作都是通过试错来完成的。因此,我们考虑开发一种系统,使这种复杂的操作更容易、更有效。在本文中,我们描述了帮助这些操作所需的功能,并详细说明了开发的原型系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Platonic Investigations
Platonic Investigations Arts and Humanities-Philosophy
CiteScore
0.30
自引率
0.00%
发文量
0
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