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» Surface Reconstruction using Learned Shape Models
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CVPR
2007
IEEE
14 years 11 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
14 years 11 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
14 years 11 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
14 years 10 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
13 years 10 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