Multiview Visibility Estimation for Image-Based Modeling
Multiview Visibility Estimation for Image-Based Modeling
复制标题
基于图像建模的多视图可见性估计
DOI：
10.1007/s11390-011-1196-6
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发表时间：
2011-11
影响因子：
0.7
通讯作者：
JIA Yunde
中科院分区：
文献类型：
--
作者：
ZHANG Liuxin;PEI Mingtao;JIA Yunde
在本文中，我们研究的问题，确定区域的三维场景中可见的一些给定的观点时，在场景中存在障碍物。我们假设障碍物是由一些不透明的物体与封闭的表面。该问题是制定在一个隐式的框架中的障碍是由一个水平集函数。通过高效的隐式光线跟踪技术确定给定视点的可见和不可见区域。作为我们的方法的扩展，我们应用多视图可见性估计的基于图像的建模技术。未知的场景几何和多视图可见性信息被纳入一个变分能量泛函。通过最小化能量泛函，可以从多幅场景图像中恢复真实场景的几何形状以及多个视图的准确可见性信息。这使得它可行的处理多个视图的可见性问题时，真实场景的几何形状是未知的。
In this paper, we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene. We assume that the obstacles are composed of some opaque objects with closed surfaces. The problem is formulated in an implicit framework where the obstacles are represented by a level set function. The visible and invisible regions of the given viewpoints are determined through an efficient implicit ray tracing technique. As an extension of our approach, we apply the multiview visibility estimation to an image-based modeling technique. The unknown scene geometry and multiview visibility information are incorporated into a variational energy functional. By minimizing the energy functional, the true scene geometry as well as the accurate visibility information of the multiple views can be recovered from a number of scene images. This makes it feasible to handle the visibility problem of multiple views by our approach when the true scene geometry is unknown.
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影响因子：
10.6
作者：
Chan, TF;Vese, LA
通讯作者：
Vese, LA
DOI：
10.1109/cvpr.2005.238
发表时间：
2005-06
期刊：
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
影响因子：
--
作者：
George Vogiatzis;P. Torr;R. Cipolla
通讯作者：
George Vogiatzis;P. Torr;R. Cipolla
DOI：
10.1109/cvpr.2003.1211351
发表时间：
2003-06
期刊：
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
影响因子：
--
作者：
Hailin Jin;Stefano Soatto;A. Yezzi
通讯作者：
Hailin Jin;Stefano Soatto;A. Yezzi
影响因子：
0.8
作者：
W. Chin;S. Ntafos
通讯作者：
W. Chin;S. Ntafos
DOI：
10.1145/1198555.1198751
发表时间：
2005-07
期刊：
ACM SIGGRAPH 2005 Courses
影响因子：
--
作者：
S. Parker;William Martin;Peter-Pike J. Sloan;P. Shirley;Brian E. Smits;C. Hansen
通讯作者：
S. Parker;William Martin;Peter-Pike J. Sloan;P. Shirley;Brian E. Smits;C. Hansen