Ambient point clouds for view interpolation

M. Goesele, J. Ackermann, Simon Fuhrmann, Carsten Haubold, Ronny Klowsky, Drew Steedly, R. Szeliski
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引用次数: 87

Abstract

View interpolation and image-based rendering algorithms often produce visual artifacts in regions where the 3D scene geometry is erroneous, uncertain, or incomplete. We introduce ambient point clouds constructed from colored pixels with uncertain depth, which help reduce these artifacts while providing non-photorealistic background coloring and emphasizing reconstructed 3D geometry. Ambient point clouds are created by randomly sampling colored points along the viewing rays associated with uncertain pixels. Our real-time rendering system combines these with more traditional rigid 3D point clouds and colored surface meshes obtained using multiview stereo. Our resulting system can handle larger-range view transitions with fewer visible artifacts than previous approaches.
用于视图插值的环境点云
视图插值和基于图像的渲染算法通常会在3D场景几何错误、不确定或不完整的区域产生视觉伪影。我们引入了由不确定深度的彩色像素构建的环境点云,这有助于减少这些伪影,同时提供非真实感的背景着色并强调重建的3D几何形状。环境点云是通过随机采样与不确定像素相关的观察光线中的彩色点来创建的。我们的实时渲染系统将这些与更传统的刚性3D点云和使用多视图立体获得的彩色表面网格相结合。与以前的方法相比,我们的结果系统可以用更少的可见工件处理更大范围的视图转换。
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