SSD-C: Smooth Signed Distance Colored Surface Reconstruction

SSD-C: Smooth Signed Distance Colored Surface Reconstruction
复制标题

SSD-C:平滑有符号距离彩色表面重建

DOI:
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发表时间:
2012
期刊:
Expanding the Frontiers of Visual Analytics and Visualization
影响因子:
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通讯作者:
G. Taubin
G. Taubin
中科院分区:
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文献类型:
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作者:
Fatih Calakli;G. Taubin

文献摘要

被引文献

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在这一章中,我们解决的问题,重建表面的几何形状,拓扑结构和彩色地图的三维场景从一组有限的彩色定向点。如今,这些数据集是使用多种技术获得的,包括来自多个2D图像的多视图立体重建方法。我们描述了一种新的变分方法,它减少了稀疏系统的线性方程组的解决方案的问题。我们首先使用的点的位置和方向矢量重建的几何形状和拓扑结构的水密表面表示为一个自适应镶嵌多边形网格。然后,该方法平滑地将颜色信息从点外推到表面。实验结果表明,该方法产生的高质量的多边形网格与光滑的彩色地图,准确地近似源彩色定向点。
In this chapter we address the problem of reconstructing the surface geometry, topology, and color map of a 3D scene from a finite set of colored oriented points. These data sets are nowadays obtained using a variety of techniques, including multi-view stereo reconstruction methods from multiple 2D images. We describe a novel variational method which reduces the problem to the solutions of sparse systems of linear equations. We first use the point positions and orientation vectors to reconstruct the geometry and topology of a watertight surface represented as an adaptively tessellated polygon mesh. The method then smoothly extrapolates the color information from the points to the surface. Experimental evidence is presented to show that the resulting method produces high quality polygon meshes with smooth color maps which accurately approximate the source colored oriented points.