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Seamless texture stitching on a 3D mesh by poisson blending in patches

机译:通过泊松混合在3D网格上进行无缝纹理拼接

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In this paper, we propose a novel approach to seamless texture stitching on a 3D mesh. The main idea is to blend the sampled images by least-angle selection of gradients in overlapping patches. This is in contrast to previous works which focus on vertex- or face-based strategies with additional heuristics for robustness. Patches are obtained by growing a uniform mesh segmentation via geodesic projections. Blending is achieved by formulating a screened Poisson equation using discrete differential operators. The processing pipeline further includes an optional step of color transformation for calibration and correction. This is applied to a zippered mesh based on range scans and a morphable model fitted to face photographs.
机译:在本文中,我们提出了一种在3D网格上进行无缝纹理拼接的新颖方法。主要思想是通过最小角度选择重叠块中的梯度来混合采样图像。这与以前的工作相反,后者以前的工作集中在基于顶点或基于面部的策略上,并具有用于鲁棒性的其他启发式方法。通过通过测地线投影生长均匀的网格分段来获得补丁。通过使用离散微分算子公式化筛选的泊松方程来实现混合。处理流水线进一步包括用于校准和校正的可选颜色变换步骤。基于范围扫描和适合脸部照片的可变形模型,将其应用于带拉链的网格。

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