Photo-consistent 3D model deformation for novel view image synthesis

Meng-Hsuan Chia, Chien-Hsing He, H. Lin
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Abstract

In this paper, a system is designed for improving the quality of novel view synthesis. To make the virtual view synthesis look better, the basic idea is to perform model refinement with important camera information of the novel view. In this system, we first use the reconstructed visual hull from shape from silhouette and then refine this 3D model based on the view dependency. The 3D points of the model are classified into the outline points and the non-outline points according to the virtual viewpoint. To refine the model, both of the outline points and the non-outline points are used to move the 3D points iteratively by minimizing energy function until convergence. The key energy is the photo-consistency energy with additional smoothness energy and contour/visual hull energy. The latter two energy terms can avoid the local minimum when calculating the photo-consistency energy. Finally, we render the novel view image using view-dependent image synthesis by blending the pixel values from reference cameras near the virtual camera.
用于新型视图图像合成的与照片一致的三维模型变形
本文设计了一个提高新视图合成质量的系统。为了使虚拟视图合成效果更好,其基本思想是利用新视图的重要相机信息进行模型细化。在该系统中,我们首先使用从轮廓形状重建的视觉船体,然后基于视图依赖对该3D模型进行细化。根据虚拟视点将模型的三维点划分为轮廓点和非轮廓点。为了改进模型,利用轮廓点和非轮廓点,通过最小化能量函数迭代移动三维点,直到收敛。关键能量是光一致性能量与额外的平滑能量和轮廓/视觉船体能量。后两种能量项在计算光一致性能量时可以避免局部最小值。最后,我们通过混合参考相机附近的像素值,使用视图相关图像合成来渲染新的视图图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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