Multiple Objects Recognition for Industrial Robot Applications

被引：0

作者：

Kim, Kyekyung ^{[1
]}

Kang, Sangseung ^{[1
]}

Kim, Jaehong ^{[1
]}

Lee, Jaeyeon ^{[1
]}

Kim, Joongbae ^{[1
]}

Kim, Jinho ^{[2
]}

机构：

[1] ETRI, Dept Intelligent Cognit Technol, Taejon 305700, South Korea

[2] Kyungil Univ, Dept Elect, Daegu 712701, South Korea

来源：

2013 10TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2013年

关键词：

Object recognition; Edge detection; Pose estimation; Object segmentation;

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：

Vision-based object recognition has been studied intensively because of many application fields, especially, manufacturing process in industrial robot application. But it has been challenged due to illumination effect, diverse material object, atypical shape object, etc. In this paper, multiple object recognition including complex shape object has been proposed. The object is consisted of variable characteristic, which has reflection material surface wrapped by plastic or flexible shape. Object segmentation using back light and pose estimation by maximal axis detection, and object recognition by NN have developed. We have evaluated recognition performance on database of ETRI, which has acquired under various lighting conditions.

引用

页码：257 / 259

页数：3

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