A hybrid color matching between stereo image sequences

Jung-Jae Yu, Haedong Kim, Howook Jang, Seung-Woo Nam
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引用次数: 12

Abstract

The interest in the production of stereoscopic contents is growing rapidly. High quality stereo material can be produced using vertical stereo camera rig but complex color discrepancies occur because of the optical characteristic of the half mirror. These discrepancies may severely increase an audience's sense of fatigue if s/he watches these stereoscopic contents for a long time. The color matching methods often considered in the post-processing stage of stereoscopic production are mainly based on global transformations between the two views, but this approach can not completely recover local color inconsistency. We propose a new color matching method to correct local and global color discrepancies. We used prior knowledge about the vertical camera rig, SIFT feature matching and pyramid optical flow and modified histogram matching. Experimental results proved the effectiveness and the robustness of our algorithm.
立体图像序列之间的混合颜色匹配
人们对制作立体内容的兴趣正在迅速增长。利用垂直立体摄像机可以生产出高质量的立体材料,但由于半反射镜的光学特性,会产生复杂的色差。如果观众长时间观看这些立体内容,这些差异可能会严重增加他们的疲劳感。在立体制作的后期处理阶段,通常考虑的颜色匹配方法主要是基于两个视图之间的全局转换,但这种方法不能完全恢复局部颜色不一致。我们提出了一种新的颜色匹配方法来校正局部和全局的颜色差异。我们使用了垂直摄像机的先验知识、SIFT特征匹配和金字塔光流匹配以及改进的直方图匹配。实验结果证明了该算法的有效性和鲁棒性。
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