A model-based vision system for industrial parts using a small computer
| Autor: | Dragan S. Milutinovic, Mark Paul Turchan, Vladimir R. Milačić, Fumihiko Kimura, Toshio Sata |
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| Rok vydání: | 1987 |
| Předmět: |
0209 industrial biotechnology
Engineering Machine vision business.industry Orientation (computer vision) General Mathematics Binary image 02 engineering and technology Solid modeling Object (computer science) Industrial and Manufacturing Engineering Computer Science Applications Computer graphics 020901 industrial engineering & automation Control and Systems Engineering Feature (computer vision) 020204 information systems 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Pose Software |
| Zdroj: | Robotics and Computer-Integrated Manufacturing. 3:439-450 |
| ISSN: | 0736-5845 |
| DOI: | 10.1016/0736-5845(87)90055-x |
| Popis: | A model-based vision system has been successfully implemented in a small computer environment. This approach uses a basic solid modeling system to develop three-dimensional models of mechanical parts. From those models, two-dimensional projections are taken for every stable state of the object, with many orientations around the object's vertical axis for each stable state. These two-dimensional projections are treated as synthetic binary images, from which a variety of features may be measured and extracted. A similar procedure is used for a binary image of an object from a real scene, and features are also extracted for that image. A simple matching procedures uses the model-based feature sets to determine the real object's stable state position and orientation. This paper describes the system in detail and shows examples of its use. |
| Databáze: | OpenAIRE |
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