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» Bayesian Point Cloud Reconstruction
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VMV
2003
181views Visualization» more  VMV 2003»
14 years 10 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
15 years 2 months 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»
15 years 3 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»
14 years 9 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
14 years 9 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...