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Multiple Objects Recognition for Industrial Robot Applications
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- Authors
- Kyekyung Kim, Sangseung Kang, Jaehong Kim, Jaeyeon Lee, Joongbae Kim, Jinho Kim
- Issue Date
- 2013-10
- Citation
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2013, pp.257-259
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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. © 2013 IEEE.
- KSP Keywords
- Application fields, Axis detection, Complex shape, Illumination effect, Industrial robot, Lighting condition, Manufacturing processes, Multiple objects, Object recognition, Object segmentation, Objects recognition