Modeling distance nonlinearity in tof cameras and correction based on integration time offsets

Authors:
Claudio Uriarte;Bernd Scholz-Reiter;Sheshu Kalaparambathu Ramanandan;Dieter Kraus
Affiliations:
Bremer Institut für Produktion und Logistik, BIBA, Bremen, Germany;Bremer Institut für Produktion und Logistik, BIBA, Bremen, Germany;Bremer Institut für Produktion und Logistik, BIBA, Bremen, Germany;Institute of Water-Acoustics, Sonar-Engineering and Signal-Theory, University of Applied Sciences Bremen, Bremen, Germany
Venue:
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2011

Citing 3
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Abstract

Time of Flight (ToF) cameras capture the depth images based on a new sensor technology allowing them to process the whole 3D scenario at once. These cameras deliver the intensity as well as the amplitude information. Due to difference in travel time of the rays reaching the sensor array, the captured distance information is affected by non linearities. In this paper, the authors propose three models (the monostatic, bistatic and optimized) for correcting the distance non linearity. The thermal characteristic of the sensor is studied in real time and analysis for integration time offsets for different reflectivity boards are carried out. The correction results are demonstrated for different reflectivity targets based on our models and analyzed integration offsets.