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Interactive Poisson photometric propagation for facial composite

机译:面部复合材料的交互式Poisson光度传播

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In image composition, the inconsistent illumination of the source images is one of the major problems for seamless stitching of separated patches. The Poisson image editing is a sound technique for seamless image composition. In this paper, we have generalized and improved this technique and applied it onto solving the illumination discontinuity problem for facial image composition. Toward stitched image with patches of arbitrary shapes and number, an extended Poisson equation is proposed. To solve this equation efficiently, a layer-based Poisson solution propagation algorithm is designed. Based on above, an interactive photometric alignment system for facial compositing image is built. In the experiments, the photometric propagation effects with respect to user's selections are compared. Its time performance is also investigated. The experimental results verified the effectiveness and efficiency of the proposed method.
机译:在图像合成中,源图像的不一致照明是无缝拼接分离色块的主要问题之一。泊松图像编辑是一种用于无缝图像合成的声音技术。在本文中,我们对此技术进行了概括和改进,并将其应用于解决面部图像合成的照明不连续性问题。针对具有任意形状和数量的斑块的缝合图像,提出了扩展的泊松方程。为了有效地求解该方程,设计了基于层的泊松解传播算法。基于以上所述,构建了一种用于人脸合成图像的交互式光度对准系统。在实验中,比较了关于用户选择的光度学传播效果。还研究了其时间性能。实验结果证明了该方法的有效性和有效性。

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