Topology-adaptive Multiview Photometric Stereo
Topology-adaptive Multiview Photometric Stereo
复制标题
拓扑自适应多视图光度立体
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Y. Yoshiyasu
中科院分区：
文献类型：
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作者：
Y. Yoshiyasu
在这篇文章中，我们提出了一种新的技术，能够从闪光灯照片中捕获详细的3D模型，集成了阴影和轮廓线索。我们的主要贡献是一个优化框架，它不仅可以捕获细微的表面细节，还可以处理拓扑中的变化。为了融合从明暗处理估计的法线，我们使用了一个基于网格的变形模型，该模型使用变形梯度。这种方法能够处理精确的几何图形，而且在精度和效率上都优于以往的方法。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，有效地解决了拓扑问题。除了该算法外，我们还引入了一种手持装置来实现多视点光度立体。关键的想法是从广泛的位置获取闪光灯照片，以便即使在相机上安装了标准闪光灯单元也能获得足够的照明变化。实验结果表明，该方法能够很好地捕捉到各种物体的细节形状，并能很好地应对拓扑变化。
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.