Shape from Grid Pattern Based on Coplanarity Constraints for One-shot Scanning
Shape from Grid Pattern Based on Coplanarity Constraints for One-shot Scanning
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DOI：
10.2197/ipsjtcva.1.139
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Furukawa Ryo;Hiroshi Kawasaki;R. Sagawa;Y. Yagi
中科院分区：
文献类型：
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作者：
Furukawa Ryo;Hiroshi Kawasaki;R. Sagawa;Y. Yagi
运动可变形物体的形状获取对于人脸表情的运动捕捉等应用具有重要意义。已经提出了几种使用结构光的技术。这些技术可以大致分为两大类。第一种类型使用多个投影图案对投影仪的像素的位置信息进行时间编码，第二种类型将位置信息空间编码到区域或颜色空间中。虽然前一种技术允许密集的重建与足够数量的模式，它有困难，在快速运动的扫描对象。后一种技术仅使用单一图案，因此更适合捕捉动态场景;然而，它通常使用具有各种颜色的复杂图案，这些图案容易受到噪声，边缘或纹理引起的图案不连续性的影响。因此，实现快速移动和可变形物体的密集和稳定的3D采集仍然是一个悬而未决的问题。我们提出了一种技术来实现密集的形状重建，只需要一个单帧图像的网格图案的基础上共面约束。使用我们的技术，位置信息不是编码在投影图案的局部区域中，而是分布在整个网格图案上，这导致鲁棒的图像处理和3D重建。该技术还具有低的计算成本的优点，由于其有效的配方。
Shape acquisition of moving deformable objects with little texture is important for applications such as motion capture of human facial expression. Several techniques using structured light have been proposed. These techniques can be largely categorized into two main types. The first type temporally encodes positional information of a projector's pixels using multiple projected patterns, and the second spatially encodes positional information into areas or color spaces. Although the former technique allows dense reconstruction with a sufficient number of patterns, it has difficulty in scanning objects in rapid motion. The latter technique uses only a single pattern, so it is more suitable for capturing dynamic scenes ; however, it often uses complex patterns with various colors, which are susceptible to noise, pattern discontinuity caused by edges, or textures. Thus, achieving dense and stable 3D acquisition for fast-moving and deformable objects remains an open problem. We propose a technique to achieve dense shape reconstruction that requires only a single-frame image of a grid pattern based on coplanarity constraints. With our technique, positional information is not encoded in local regions of a projected pattern, but is distributed over the entire grid pattern, which results in robust image processing and 3D reconstruction. The technique also has the advantage of low computational cost due to its efficient formulation.