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A Method for Estimating the Camera Parameters Based on Vanishing Points

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Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 611))

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Abstract

This paper presented MMVD vanishing points detection algorithm which was inspired by multi-model estimation. It was operated in image pixel space, not parameter space. We first gave some vanishing points estimation model assumption based on the lines’ position and angle of each other. Then, the model assumption was used to construct the correlation matrix for line segments clustering and vanishing points estimation. Clustering algorithm produced vanishing points and they were refined by the EM algorithm to improve the accuracy. Experiments showed that the detection speed was good and the detection result can ensure good accuracy.

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Acknowledgement

The work was supported by the Educational Commission of Hubei Province of China (No. D20151401) and the Green Industry Technology Leading Project of Hubei University of Technology (No. ZZTS2017006).

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Authors and Affiliations

  1. Hubei University of Technology, Wuhan, China

    Wan Fang, Li HaiNing, Jin HuaZhong, Lei GuangBo & Ruan Ou

Authors
  1. Wan Fang
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  2. Li HaiNing
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  3. Jin HuaZhong
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  4. Lei GuangBo
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  5. Ruan Ou
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Corresponding author

Correspondence to Jin HuaZhong .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Politècnico di Torino, Istituto Superiore Mario Boella, Turin, Italy

    Olivier Terzo

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Fang, W., HaiNing, L., HuaZhong, J., GuangBo, L., Ou, R. (2018). A Method for Estimating the Camera Parameters Based on Vanishing Points. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_45

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61565-3

  • Online ISBN: 978-3-319-61566-0

  • eBook Packages: EngineeringEngineering (R0)

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