Feature and viewpoint selection for industrial car assembly

Stoessel, Dirk and Hanheide, Marc and Sagerer, Gerhard and Kruger, Lars (2004) Feature and viewpoint selection for industrial car assembly. In: Pattern recognition. Lecture Notes in Computer Science (3175). Springer, pp. 528-535. ISBN 9783540229452, 9783540286493

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Abstract

Abstract. Quality assurance programs of today’s car manufacturers show increasing demand for automated visual inspection tasks. A typical example is just-in-time checking of assemblies along production lines. Since high throughput must be achieved, object recognition and pose estimation heavily rely on offline preprocessing stages of available CAD data. In this paper, we propose a complete, universal framework for CAD model feature extraction and entropy index based viewpoint selection that is developed in cooperation with a major german car manufacturer.

Item Type:Book Section
Additional Information:Abstract. Quality assurance programs of today’s car manufacturers show increasing demand for automated visual inspection tasks. A typical example is just-in-time checking of assemblies along production lines. Since high throughput must be achieved, object recognition and pose estimation heavily rely on offline preprocessing stages of available CAD data. In this paper, we propose a complete, universal framework for CAD model feature extraction and entropy index based viewpoint selection that is developed in cooperation with a major german car manufacturer.
Keywords:Robotics, Human-robot interaction, bmjtype
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6718
Deposited By: Marc Hanheide
Deposited On:26 Oct 2012 13:55
Last Modified:13 Mar 2013 09:18

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