Stereo Vision and 3D Reconstruction on a Processor Network
conference paper
Surface measurements during outdòoor construction processes ar very costly whenever
the measurement process interferes with the construction activities, since machine and man power
resources are idle during the data acquisition procedure. Using frame cameras as sensors to provide
a rneasurement data base can avoid, this problem. In this paper a system is introduced which uses
stereo vision for three dimensional (3D) surlace reconstruction. The hardware and software issues
are focussed, which are crucial in terms of the time performance limits given by the construction
process. Stereo matching as major part is solved in a feature vector based opproach implemented on
dedicated hardware. A multi-processor solution is described, which satisfies all requirements in terms
of price, time behavior and accuracy as well as physical robustness and indipendence in the industrial
environment. We conclude with examples and realistic figures as exerimental results ol a prototype
solution
the measurement process interferes with the construction activities, since machine and man power
resources are idle during the data acquisition procedure. Using frame cameras as sensors to provide
a rneasurement data base can avoid, this problem. In this paper a system is introduced which uses
stereo vision for three dimensional (3D) surlace reconstruction. The hardware and software issues
are focussed, which are crucial in terms of the time performance limits given by the construction
process. Stereo matching as major part is solved in a feature vector based opproach implemented on
dedicated hardware. A multi-processor solution is described, which satisfies all requirements in terms
of price, time behavior and accuracy as well as physical robustness and indipendence in the industrial
environment. We conclude with examples and realistic figures as exerimental results ol a prototype
solution
TNO Identifier
94942
Publisher
R. Oldenbourg Verlag
Source title
Machine Perception Applications - Proceedings of the IAPR TC-8 Workshop on Machine Perception Applications, Technical University Graz, Austria, 2-3 September 1996
Editor(s)
Pinz, A.
Polzleitner, W.
Polzleitner, W.
Place of publication
Wien
Pages
97-111
Files
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