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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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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