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ICIP
2001
IEEE
16 years 23 days ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
ISBI
2009
IEEE
15 years 6 months ago
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data
Various cortical measures such as cortical thickness are routinely computed along the vertices of cortical surface meshes. These metrics are used in surface-based morphometric stu...
Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
ICIP
2006
IEEE
15 years 5 months ago
A Theory of Aliasing Separation for Light Field Data
A light field means a 4-D function which characterizes the flow of light rays from a target scene, and used for image-based rendering. This paper presents a novel theoretical fr...
Keita Takahashi, Takeshi Naemura
ICIP
2006
IEEE
16 years 26 days ago
Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines
Three-directional box-splines are particularly well-suited to interpolate and approximate hexagonally sampled data. In this paper, we propose a computationally efficient end-toend...
Laurent Condat, Dimitri Van De Ville, Michael Unse...
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ICCSA
2005
Springer
15 years 4 months ago
Quasi-interpolants Based Multilevel B-Spline Surface Reconstruction from Scattered Data
Abstract. This paper presents a new fast and local method of 3D surface reconstruction for scattered data. The algorithm makes use of quasiinterpolants to compute the control point...
Byung-Gook Lee, Joon-Jae Lee, Ki-Ryoung Kwon