|
Abstract
|
|
|---|---|
| This paper describes a new planning algorithm to perform automatic dimensional inspection of 3D industrial parts using a machine vision system. Our approach makes use of all the information available in the system: model of the machine part to inspect and characteristics of the inspection system obtained in previous calibration stages. The analysis is based on discretizing both the configuration space of the system as well as the geometry of the part. Our method does not limit the range of application of the system. It neither imposes any restrictions to the viewpoints from where the part is to be inspected nor to the complexity of the part. All the results shown in this study have been tested with a machine vision inspection system for quality control of industrial parts which consists of a stereoscopic pair of cameras and a laser plane. | |
|
International
|
Si |
|
|
|
|
Book Edition
|
1 |
|
Book Publishing
|
Springer-Verlag |
|
ISBN
|
10 3-540-74258-1 |
|
Series
|
4633 |
|
Book title
|
Lecture Notes in Computer Science. Image Analysis and Recognition |
|
From page
|
1148 |
|
To page
|
1159 |