Camera color calibration method suitable for spherical surface camera array

Abstract

The invention relates to a color adjusting method applicable to a spherical camera array, belonging to the multimedia field of computers. The method includes that a controlling server controls each collecting server and the camera connected with the collecting server to collect a group of images before the color calibration; a circle is detected by a method basing on a Hough transposition to obtain a position of a standard substance for the color calibration in the image; each camera is controlled by the controlling server to carry out independent color calibration, so as to guarantee the error between the sampled color and the color standard within a certain range; each camera is calibrated on-line by the controlling server basing on the collected data until the relative error between the cameras is less than the threshold value. The color adjusting method is applicable to the color standard substance of the spherical camera array through the design, effectively reduces the influences of environmental light; the speed and improves the precision of color calibration of the camera array.

Description

technical field [0001] The invention belongs to the field of computer multimedia, in particular to computer vision and color calibration of camera display. Background technique [0002] The camera array uses a group of cameras to sample the scene, and can provide users with video / image information from different perspectives of the same scene. Using this information, users can conduct some specific research, such as 3D scene reconstruction, virtual perspective video synthesis, etc. Compared with the traditional single camera, the camera array has obvious advantages, and it has broad prospects in the field of academic research and practical applications. At present, the related research of camera array has attracted quite a group of scholars. [0003] A camera array may consist of a variety of different cameras, or may consist of the same camera. But even the exact same camera will have a very different response to light intensity and color under the same conditions. Ther...

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Problems solved by technology

[0007] The above method is cumbersome to operate, especially when the orientation of the cameras in the camera display is inconsistent, it is often impossible to ensure that all cameras can see the color calibration plate and the cameras need to be calibrated in batches; and in this method, if the illumination in the scene is not uniform, each The brightness of the color samples collected by the camera will have a large difference, and the calibration result will be greatly affected by the ambient light; finally, this method does not consider the difference between the color samples sampled between the cameras after the color calibration between different cameras, After color calibration, there may still be large differences in color samples between different cameras, which will affect the overall effect of calibration

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