Biologically Inspired Vision and Touch Sensing to Optimize 3D Object Representation and Recognition

被引：0
|
作者：
Rouhafzay G. [1 ]
Cretu A.-M. [2 ]
Payeur P. [1 ]
机构：
[1] School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa
[2] University of Québec, Department of Computer Science and Engineering, Outaouais
来源：
IEEE Instrumentation and Measurement Magazine | 2021年 / 24卷 / 03期
关键词：
Virtual reality;
D O I：
10.1109/MIM.2021.9436099
中图分类号：
学科分类号：
摘要：
This study presents research initiatives performed by the authors to validate these biologically inspired assumptions and efficiently merge measurements from different instrumentation technologies in a framework to operate in the context of practical robotic tasks that involve 3D object representation and recognition. The framework makes use of visual and tactile data acquired over the surface of objects. At the heart of the proposed framework for combined use of vision and touch for 3D object representation and recognition is a computational model of visual attention. The fast rendering capability of triangular meshes has made them one of the most popular techniques for 3D object representation in robotics, virtual environments and computer graphics.
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页码：85 / 90
页数：5
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