3D Shape Detection for Mobile Robot Learning

被引：2
作者：
Richtsfeld, Andreas [1 ]
Vincze, Markus [1 ]
机构：
[1] Vienna Univ Technol, Automat & Control Inst, A-1040 Vienna, Austria
来源：
ADVANCES IN ROBOTICS RESEARCH | 2009年
关键词：
OBJECT RECOGNITION;
D O I：
10.1007/978-3-642-01213-6_10
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
If a robot shall learn from visual data the task is greatly simplified if visual data is abstracted from pixel data into basic shapes or Gestalts. This paper introduces a method of processing images to abstract basic features into higher level Gestalts. Grouping is formulated as incremental problem to avoid grouping parameters and to obtain anytime processing characteristics. The proposed system allows shape detection of 3D such as cubes, cones and cylinders for robot affordance learning.
引用
收藏
页码：99 / 109
页数：11
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