Robust-rotation recognition based on contour matching using CUDA in automation system

This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in thi...

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Bibliographic Details
Main Authors: SangKwon Sim, Jong-hak Kim, Zhongyun Yuan, Seong-muk Kang, Jun-dong Cho
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Centroid Contour Distance
Charge coupled devices
CUDA
GPGPU
Graphics processing units
Histograms
Labeling
Recognition
Robustness
SAD
Shape
Vision
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Description
Summary:This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in this paper, we propose a method focusing on the robust-rotation recognition algorithm by using a CCD (Centroid Contour Distance) method. Furthermore, the proposed algorithm targets reducing the processing speed by using the CUDA (Compute Unified Device Architecture) for real-time processing.
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2015.7177791