Model-Based Vision Using Relational Summaries

Haiyuan Lu; Linda G. Shapiro

doi:10.1117/12.969314

21 March 1989 Model-Based Vision Using Relational Summaries

Haiyuan Lu, Linda G. Shapiro

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969314
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

A CAD-to-vision system is a computer system that inputs a CAD model of an object and outputs a vision model and matching procedure by which that object can be recognized and/or its position and orientation determined. CAD-model-based systems are extremely useful for industrial vision tasks where a number of different manufactured parts must be automatically manipulated and/or inspected. Another area where vision systems based on CAD models is becoming important is in the United States space program. Since the space station and space vehicles are recent or even current designs, we can expect to have CAD models of these objects to work with. Vision tasks in space such as docking and tracking of vehicles, guided assembly tasks, and inspection of the space station itself for cracks and other problems can rely on model-directed vision techniques.

Citation Download Citation

Haiyuan Lu and Linda G. Shapiro "Model-Based Vision Using Relational Summaries", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969314

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