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    Robust color correction in stereo vision

    Wang, Q. and Yan, P. and Yuan, Y. and Li, Xuelong (2011) Robust color correction in stereo vision. In: UNSPECIFIED (ed.) IEEE International Conference on Image Processing. Institute of Electrical and Electronics Engineers, pp. 965-968. ISBN 9781457713040.

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    The phenomenon of color discrepancy between image pairs happens frequently in stereo vision systems. This inconsistence in color domain may cause difficulties when identifying point correspondence to reconstruct the scene depth. In this paper, we propose a robust algorithm to correct the color discrepancy between images. The proposed algorithm neither requires a color calibration chart/object which is a tedious procedure, nor explicitly compensates for the image as a whole, which possibly give bad correction results in local areas of an image. Instead, we correct the image region by region. Experiments show that the presented color correction algorithm is effective and efficient.


    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 07 Jun 2013 10:08
    Last Modified: 11 Oct 2016 15:27


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