Paper
19 February 1988 On Describing A Robotic Scene
Vincent Hayward, Stephane Aubry
Author Affiliations +
Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942799
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
The focus of this article is the presentation of the issues involved in the design of a system able to automatically or semi-automatically construct a global, world-centered model of an industrial scene. In a robotic context, the uses of such a model could be the detection and prevention of collisions, and the interactive off-line programming of manipulators. More generally, such a model can be useful for a variety of automation tasks, including graphic simulation and machining operations sequencing. We first review range acquisition and solid modelling techniques in light of their respective appropriateness to the above problem. Then we explain how the process of constructing a scene differs from both object recognition and image processing, since we are a priori not interested in isolating distinguishing features of objects but rather in faithfully describing entire scenes. We also discuss how the merging of the several views of the scene is a central element of the scene acquisition process and how great care must be exercised in order to maintain connectivity consistency. Finally, we show that data acquisition, solid modelling as well the actual process of constructing the scene are closely interrelated and that these three issues, all of which are necessary components of the scene description process, should not be considered independently of each other.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent Hayward and Stephane Aubry "On Describing A Robotic Scene", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942799
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Cited by 1 scholarly publication.
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KEYWORDS
Robots

Modeling

Solids

Computer programming

Image processing

Computer vision technology

Machine vision

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