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3D object reconstruction using photometric mesh representation

机译:使用光度网格表示的3D对象重建

摘要

Techniques are disclosed for 3D object reconstruction using photometric mesh representations. A decoder is pretrained to transform points sampled from 2D patches of representative objects into 3D polygonal meshes. An image frame of the object is fed into an encoder to get an initial latent code vector. For each frame and camera pair from the sequence, a polygonal mesh is rendered at the given viewpoints. The mesh is optimized by creating a virtual viewpoint, rasterized to obtain a depth map. The 3D mesh projections are aligned by projecting the coordinates corresponding to the polygonal face vertices of the rasterized mesh to both selected viewpoints. The photometric error is determined from RGB pixel intensities sampled from both frames. Gradients from the photometric error are backpropagated into the vertices of the assigned polygonal indices by relating the barycentric coordinates of each image to update the latent code vector.
机译:公开了使用光度网格表示的3D对象重建的技术。 返回解码器以将从代表性对象的2D斑块采样的切换点转换为3D多边形网格。 对象的图像帧被馈送到编码器中以获得初始潜在代码向量。 对于从序列的每个帧和摄像机对,在给定视点上呈现多边形网格。 通过创建虚拟视点,光栅化以获得深度映射来优化网格。 通过将与光栅化网格的多边形面顶点的坐标投影到所选视点来对准3D网状投影。 从两个帧采样的RGB像素强度确定光度误差。 来自光度误差的梯度通过与每个图像的重心坐标相关来更新潜在代码向量来返回到分配的多边形指数的顶点。

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