Topology-adaptive multi-view photometric stereo
Topology-adaptive multi-view photometric stereo
复制标题
拓扑自适应多视角光度立体
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
N. Yamazaki
中科院分区：
文献类型：
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作者：
Y. Yoshiyasu;N. Yamazaki
在本文中，我们提出了一种新的技术，使捕捉详细的三维模型，从闪光灯照片集成阴影和剪影线索。我们的主要贡献是一个优化框架，不仅捕捉微妙的表面细节，但也处理拓扑结构的变化。为了结合从阴影估计的法线，我们采用了基于网格的变形模型，使用变形梯度。这种方法能够处理精确的几何形状，事实上，它在精度和效率方面都优于以前的方法。为了适应网格的拓扑结构，我们将网格转换为隐式曲面表示，然后再转换回网格表示。这个简单的过程去除了网格的自相交区域，并有效地解决了拓扑问题。除了算法，我们介绍了一个手持装置，以实现多视图光度立体。关键的想法是从广泛的位置获取闪光照片，以获得足够的照明变化，即使与标准闪光灯单元连接到相机。实验结果表明，该方法可以捕捉到各种物体的细节形状，并能很好地科普拓扑变化。
In this paper, we present a novel technique that enables capturing of detailed 3D models from flash photographs integrating shading and silhouette cues. Our main contribution is an optimization framework which not only captures subtle surface details but also handles changes in topology. To incorporate normals estimated from shading, we employ a mesh-based deformable model using deformation gradient. This method is capable of manipulating precise geometry and, in fact, it outperforms previous methods in terms of both accuracy and efficiency. To adapt the topology of the mesh, we convert the mesh into an implicit surface representation and then back to a mesh representation. This simple procedure removes self-intersecting regions of the mesh and solves the topology problem effectively. In addition to the algorithm, we introduce a hand-held setup to achieve multi-view photometric stereo. The key idea is to acquire flash photographs from a wide range of positions in order to obtain a sufficient lighting variation even with a standard flash unit attached to the camera. Experimental results showed that our method can capture detailed shapes of various objects and cope with topology changes well.