In this paper, we present a method of estimating the vanishing point from the railway environment images. Vanishing point plays a very important role in the machine vision based railway-environment surveillance methods, e.g. estimating the pose of the camera, video segmentation and panorama. In the application of railway-environment surveillance, we most care about the vanishing point corresponding to the lines parallel to the rails. Based on the prior, we design a fast and effective method-Selected Line Segment Detector (SLSD) to detect the line segments corresponding to the scene-lines parallel to the rails, and then use a cross-iteration method to find the vanishing point in the railway environment images. We give both theoretical analysis and algorithm implementation. Our experimental results show the validation of the proposed method.


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    Title :

    A straight-line-based vanishing point detection method for railway environmental images


    Contributors:
    Jiang, Xinlan (author) / Luo, Xiaoyue (author) / Luo, Siwei (author) / Lyu, Guohao (author) / Wang, Shengchun (author)


    Publication date :

    2016-11-01


    Size :

    2809043 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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