On minimizing errors in 3D reconstruction for stereo camera systems

Active reconstruction of 3D surfaces deals with the control of camer a viewpoints to minimize error and uncertainty in the reconstructed shape of an object. In this paper we develop a mathematical relationship between the setup and focal lengths of a stereo camera system and the corresponding error...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2007-06, Vol.17 (2), p.337-348
Main Authors: Wenhardt, S, Denzler, J, Niemann, H
Format: Article
Language:English
Subjects:
Cameras
Errors
Mathematical models
Noise
Reconstruction
Three dimensional
Uncertainty
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Summary:Active reconstruction of 3D surfaces deals with the control of camer a viewpoints to minimize error and uncertainty in the reconstructed shape of an object. In this paper we develop a mathematical relationship between the setup and focal lengths of a stereo camera system and the corresponding error in 3D reconstruction of a given surface. We explicitly model the noise in the image plane, which can be interpreted as pixel noise or as uncertainty in the localization of corresponding point features. The results can be used to plan sensor positioning, e.g., using information theoretic concepts for optimal sensor data selection.[PUBLICATION ABSTRACT]
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661807020228