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» Bayesian Point Cloud Reconstruction
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VMV
2003
181views Visualization» more  VMV 2003»
13 years 9 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
PG
2003
IEEE
14 years 28 days ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
3DPVT
2006
IEEE
207views Visualization» more  3DPVT 2006»
14 years 1 months ago
Beyond Silhouettes: Surface Reconstruction Using Multi-Flash Photography
This paper introduces a novel method for surface reconstruction using the depth discontinuity information captured by a multi-flash camera while the object moves along a known tr...
Daniel E. Crispell, Douglas Lanman, Peter G. Sible...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
CAD
2006
Springer
13 years 7 months ago
A quasi-Monte Carlo method for computing areas of point-sampled surfaces
A novel and efficient quasi-Monte Carlo method for computing the area of a point-sampled surface with associated surface normal for each point is presented. Our method operates di...
Yu-Shen Liu, Jun-Hai Yong, Hui Zhang, Dong-Ming Ya...