A framework for ultra high resolution 3D imaging

A framework for ultra high resolution 3D imaging
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超高分辨率 3D 成像框架

DOI:
10.1109/cvpr.2010.5539829
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发表时间:
2010
期刊:
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
影响因子:
--
通讯作者:
M. S. Brown
M. S. Brown
中科院分区:
--
文献类型:
--
作者:
Zheng Lu;Yu;Moshe Ben;M. S. Brown

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我们提出了一个成像框架,以超高分辨率(每平方毫米超过600个样本)获取3D表面扫描。我们的方法耦合一个标准的结构光设置和光度立体使用一个大格式的超高分辨率相机。虽然以前的方法采用了类似的混合成像系统融合位置数据与表面法线,什么是独特的,我们的方法是显着的不对称性之间的分辨率低分辨率的几何形状和超高分辨率的表面法线。为了处理这些分辨率的差异,我们提出了一个多分辨率的表面重建方案,通过不同的频带传播低分辨率的几何约束,同时逐渐融合在高分辨率的光度立体数据。此外,为了处理超高分辨率的图像,我们的表面重建是在一个补丁明智的方式进行,并使用额外的边界约束,以确保补丁的连贯性。基于这种多分辨率重建方案,我们的成像框架可以产生3D扫描,显示出远远超过现有技术的非常详细的3D表面。
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2). Our approach couples a standard structured-light setup and photometric stereo using a large-format ultra-high-resolution camera. While previous approaches have employed similar hybrid imaging systems to fuse positional data with surface normals, what is unique to our approach is the significant asymmetry in the resolution between the low-resolution geometry and the ultra-high-resolution surface normals. To deal with these resolution differences, we propose a multi-resolution surface reconstruction scheme that propagates the low-resolution geometric constraints through the different frequency bands while gradually fusing in the high-resolution photometric stereo data. In addition, to deal with the ultra-high-resolution images, our surface reconstruction is performed in a patch-wise fashion and additional boundary constraints are used to ensure patch coherence. Based on this multi-resolution reconstruction scheme, our imaging framework can produce 3D scans that show exceptionally detailed 3D surfaces far exceeding existing technologies.
DOI: 10.1145/1499096.1499098
发表时间: 2009-03
期刊: ACM Trans. Math. Softw.
影响因子: --
作者:
J. Reid;J. Scott
通讯作者: J. Reid;J. Scott