Combining depth and color data for 3D object recognition

Thomas Martini Joergensen; Christian Linneberg; Allan Weimar Andersen

doi:10.1117/12.290304

26 September 1997 Combining depth and color data for 3D object recognition

Thomas Martini Joergensen, Christian Linneberg, Allan Weimar Andersen

Proceedings Volume 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling; (1997) https://doi.org/10.1117/12.290304
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

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.

Citation Download Citation

Thomas Martini Joergensen, Christian Linneberg, and Allan Weimar Andersen "Combining depth and color data for 3D object recognition", Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); https://doi.org/10.1117/12.290304

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