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Generation of view-dependent textures for an inaccurate model

机译:为不准确的模型生成与视图相关的纹理

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Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints.
机译:现有的从配准图像生成纹理的方法仅适用于精确的模型。对于不准确的模型,可能会发生纹理漂移。在本文中,我们为不准确的模型提出了一种基于视图的无缝纹理生成方法。在特定的角度下,此方法首先为每个网格面分配与已配准图像关联的标签,以生成原始纹理。与以前的方法不同,我们的标签分配过程取决于当前的视图方向,以减少由于几何形状的不精确而导致的纹理的投影位移。然后,使用梯度域编辑方法消除图像段之间的接缝。如果给出了多个观察视图,则接缝校平方法将进一步确保视图之间的颜色一致性。实验表明,我们的方法为不准确的模型赋予了更多的真实感,并成功地在整个预定义的视点序列中保持了时间颜色的一致性。

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