Share Email Print
cover

Proceedings Paper

Combining depth and color data for 3D object recognition
Author(s): Thomas Martini Joergensen; Christian Linneberg; Allan Weimar Andersen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper describes the shape recognition system that has been developed within the ESPRIT project 9052 ADAS on automatic disassembly of TV-sets using a robot cell. Depth data from a chirped laser radar are fused with color data from a video camera. The sensor data is pre-processed in several ways and the obtained representation is used to train a RAM neural network (memory based reasoning approach) to detect different components within TV-sets. The shape recognizing architecture has been implemented and tested in a demonstration setup.

Paper Details

Date Published: 26 September 1997
PDF: 11 pages
Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); doi: 10.1117/12.290304
Show Author Affiliations
Thomas Martini Joergensen, Risoe National Lab. (Denmark)
Christian Linneberg, Risoe National Lab. (Denmark)
Allan Weimar Andersen, Risoe National Lab. (Denmark)


Published in SPIE Proceedings Vol. 3208:
Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top