On minimizing errors in 3D reconstruction for stereo camera systems

被引：1

作者：

Wenhardt S. ^{[1
]}

Denzler J. ^{[2
]}

Niemann H. ^{[1
]}

机构：

[1] Department of Pattern Recognition, University of Erlangen-Nurnberg, 91058 Erlangen

[2] Department of Computer Vision, Friedrich Schiller University of Jena, 07743 Jena

来源：

Pattern Recognition and Image Analysis | 2007年 / 17卷 / 02期

关键词：

Digital cameras - Error correction - Image analysis - Optimization - Three dimensional computer graphics - Uncertainty analysis;

D O I：

10.1134/S1054661807020228

中图分类号：

学科分类号：

摘要：

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. © Nauka/Interperiodica 2007.

引用

页码：337 / 348

页数：11

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