Representing 3D shape from video

R. Nojek, T. Krzyżyński, J. Costeira
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Abstract

We present an algorithm which, taking as input positions of features (corners) in every single frame of an image sequence and the sequence itself, will generate an image of a three dimensional object optimally textured. Optimally means that for each constituent triangle of the created mesh, the texture of the best resolution will be chosen. The spatial shape of the object shown in the video sequence is calculated using a factorisation method and the best texture selection is a solution proposed by the authors.
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表示来自视频的3D形状
我们提出了一种算法,该算法将图像序列和序列本身的每一帧中的特征(角)作为输入位置,将生成三维物体的最佳纹理图像。优选意味着对于创建网格的每个组成三角形,将选择最佳分辨率的纹理。采用因式分解方法计算视频序列中物体的空间形状,并提出了最佳纹理选择的解决方案。
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