Color Calibration for Multi-camera Imaging Systems

摘要：

In multi-view imaging, a number of cameras capture the same scene from different viewpoints for regeneration of the light rays which may be emitted by a special display for 3D visualization. However, there are many conditions such as spectral characteristics of the optics, lighting variations, and sensor characteristics that cause color variations among captured multi-view images; therefore, these variations cause difficulties in accurately reproducing color consistency in multiview 3D imaging systems. As a result, color variations between the camera views may deteriorate viewers 3D visualization experiences. The process employed to compensate for the color variations of inter-camera images is called multi-camera color calibration. In this paper, a color calibration method with respect to a reference camera for multicamera systems is devised by utilizing a set of robustly detected stereo correspondences between camera pairs. The method results a 3x4 coefficient matrix multiplier that can be used for color correction operations rapidly. Objective evaluation of the experimental results shows that the proposed method can minimize the color differences between the captured multi-view images to an acceptable level relative to subjective evaluation results.

关键词： color calibartion color correction multi-view color calibration spatial color calibration multi-view 3D imaging robust correspondonce detection between stereo cameras

作者: Sabri Gurbuz Masahiro Kawakita Hiroshi Ando

作者单位: Multimodal Communication Group NICT Universal Media Research Center Seika-cho, Kyoto, Japan

会议类型: 国际会议

会议名称: 2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)

会议地点: 北京

会议语种:英文

页码: 200-205

在线出版日期: 2010-10-18（万方平台首次上网日期，不代表论文的发表时间）