Paper
19 January 1996 Automatically planning the inspection of three-dimensional objects using stereo computer vision
A. David Marshall, D. R. Roberts
Author Affiliations +
Abstract
This paper addresses the problems associated with the inspection of geometric features of machined objects using three-dimensional data provided from an active stereo vision system. The inspection strategies we are concerned with are mainly concerned with verifying geometric tolerances to typical engineering requirements, in other words, verifying the presence and the dimensions of features and measuring feature relationships. This paper discusses how three-dimensional data may be processed to produce relevant features, information and how these may be interrogated to perform inspection automatically using the described vision system. A key issue here is how best to acquire the data in the form of a series of images on which the inspection is performed. The main purpose of this paper is therefore to address problems of choosing appropriate inspection strategies so that an object can be accurately inspected using the minimum possible number of views. This is achieved by reasoning with geometric models in order that the inspection methods can be planned effectively. Consideration of the vision system configuration and the accessibility of viewpoints on the object provide other factors that need to be considered in the reasoning process.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. David Marshall and D. R. Roberts "Automatically planning the inspection of three-dimensional objects using stereo computer vision", Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); https://doi.org/10.1117/12.230369
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Inspection

Sensors

Visibility

Optical spheres

3D modeling

Machine vision

Computer vision technology

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