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Detecting and Handling Unreliable Points for Camera Parameter Estimation

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Abstract

The popularly used DLT method sometimes fails to give reliable camera parameter estimation. It is therefore important to detect the unreliability and provide the corresponding solutions. Based on a complete framework of invariance for six points, we construct two evaluation functions to detect the unreliability. The two evaluation functions do not involve any computations for the camera projective matrix or optical center and thus are efficient to perform the detection. Then, the guidelines corresponding to the different detection results are presented. In particular, a filtering RANSAC method to remove the detected unreliable points is provided. The filtering RANSAC proves to be successful in removing the unreliable points even if these points are of a large proportion.

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Authors and Affiliations

  1. Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong

    Yihong Wu & Youfu Li

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, 100080, China

    Yihong Wu & Zhanyi Hu

Authors
  1. Yihong Wu
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  2. Youfu Li
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  3. Zhanyi Hu
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Correspondence to Yihong Wu.

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Wu, Y., Li, Y. & Hu, Z. Detecting and Handling Unreliable Points for Camera Parameter Estimation. Int J Comput Vis 79, 209–223 (2008). https://doi.org/10.1007/s11263-007-0114-4

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  • DOI: https://doi.org/10.1007/s11263-007-0114-4

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