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» Surface Reconstruction using Learned Shape Models
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CVPR
2007
IEEE
16 years 5 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ICCV
2007
IEEE
16 years 5 months ago
A Symmetry-Based Generative Model for Shape
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
Nhon H. Trinh, Benjamin B. Kimia
ICCV
2005
IEEE
16 years 4 months ago
Reconstructing the Geometry of Flowing Water
We present a recording scheme, image formation model and reconstruction method that enables image-based modeling of flowing bodies of water from multi-video input data. The record...
Bastian Goldlücke, Ivo Ihrke, Marcus A. Magno...
ICIP
2002
IEEE
16 years 4 months ago
A new and simple shape descriptor based on a non-parametric multiscale model
In this paper, we present a new and robust shape descriptor, which can be efficiently used to quickly prune a search for similar shapes in a large image database. The proposed sha...
Max Mignotte
CGIM
2003
15 years 4 months ago
Lossy 3D Mesh Compression using Loop Scheme
Subdivision surfaces are finding their way into many Computer Aided Design and Animation packages. Popular choices include Loop, Catmull-Clark, Doo-Sabin etc. Subdivision surfaces...
P. Mongkolnam, Anshuman Razdan, Gerald E. Farin