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Improving the data quality of PMD-based 3D cameras

: Sabov, A.; Krüger, J.

Lensch, H.P.A. ; Max-Planck-Institut für Informatik, Saarbrücken:
Vision, modeling, and visualization 2007. Proceedings : November 7 - 9, 2007, Saarbrücken, Germany/VMV 2007
Saarbrücken: MPII, 2007
ISBN: 978-3-940739-00-1
ISBN: 978-3-89838-085-0
International Workshop Vision, Modeling, and Visualization (VMV) <12, 2007, Saarbrücken>
Conference Paper
Fraunhofer IPK ()
Digitalkamera; Videokamera; Photonik; 3D-Darstellung; virtuelles Bild; virtuelle Realität; Aufzeichnungsqualität; Algorithmus; Entfernung (Abstand); Tiefenmessung; Bildqualität; Grauskala; Entfernungsmessung; Umweltumgebung; Automatisierungstechnik

Reproducing the environment as a virtual model in a computer is a requirement of many vision, modeling and vizualisation applications. 3D video range cameras are a promising approach since they provide direct 3D information of a recorded scene. This paper focuses on improving the data quality of such cameras by analysing and processing the raw values. The first algorithm focuses on the quality of the distance values. The optimal exposure times for the camera are predicted and the resulting distance values are combined to create an improved depth image. The second algorithm focuses on the quality of grayscale values. An illumination model is presented which is used to eliminate spotlight effects in the picture. An evaluation on test scenes demonstrates the effectiveness of the algorithms.
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