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Computer Vision pp 182–183Cite as

Depth Distortion

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Related Concepts

Camera Calibration; Perspective Camera; Active Stereo Vision

Definition

Depth distortion refers to the distortion on the recovered structure from motion or from stereo due to imprecision or errors in the cameras’ intrinsic and extrinsic parameters.

Background

In structure from motion, when a camera’s intrinsic parameters are imprecise or even erroneous, the estimated motion is not accurate, and the structure inferred from motion will be a distorted version of the true structure in the environment. In stereo, when the cameras’ intrinsic and extrinsic parameters are imprecise or even erroneous, the reconstructed 3D scene will be a distorted version of the true scene in the environment.

Theory

As an example, Fig. 1 illustrates a case where the focal length is misestimated. The top view of two cameras is shown. The line segment BE is the true structure in the environment. It is projected to the images according to the true optical center O1 and O2, respectively. However,...

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References

  1. Ayache N (1991) Artificial vision for mobile robots. MIT, Cambridge

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  2. Zhang Z, Faugeras OD (1992) 3D dynamic scene analysis: a stereo based approach. Springer, Berlin/Heidelberg

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  3. Faugeras O (1993) Three-dimensional computer vision: a geometric viewpoint. MIT, Cambridge

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  4. Triggs B (1998) Autocalibration from planar scenes. In: Proceedings of the 5th European conference on computer vision (ECCV), Freiburg, Germany, pp 89–105

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  5. Zhang Z (1990) Motion analysis from a sequence of stereo frames and its applications. Ph.D. thesis, University of Paris-Sud, Orsay, Paris, France

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  6. Cheong LF, Peh CH (2004) Depth distortion under calibration uncertainty. Comput Vis Image Underst 93:221–244

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Author information

Authors and Affiliations

  1. Microsoft Research, One Microsoft Way, 98052-6399, Redmond, WA, USA

    Zhengyou Zhang

Authors
  1. Zhengyou Zhang
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Corresponding author

Correspondence to Zhengyou Zhang .

Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Cite this entry

Zhang, Z. (2014). Depth Distortion. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_166

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