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Implicit Camera Calibration Using an Artificial Neural Network

  • Dong-Min Woo
  • Dong-Chul Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4233)

Abstract

A camera calibration method based on a nonlinear modeling function of an artificial neural network (ANN) is proposed in this paper. With the application of the nonlinear mapping feature of an ANN, the proposed method successfully finds the relationship between image coordinates without explicitly calculating all the camera parameters, including position, orientation, focal length, and lens distortion. Experiments on the estimation of 2-D coordinates of image world given 3-D space coordinates are performed. In comparison with Tsai’s two stage method, the proposed method reduced modeling errors by 11.45% on average.

Keywords

Camera Calibration Lens Distortion Stage Method Image Coordinate Perspective Center 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dong-Min Woo
    • 1
  • Dong-Chul Park
    • 1
  1. 1.Dept. of Information EngineeringMyong Ji UniversityKorea

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