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» Feature Preserving Mesh Generation from 3D Point Clouds
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ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Semantic 3D Face Mesh Simplification for Transmission and Visualization
Three-dimensional data generated from range scanners is usually composed of a huge amount of information. Simplification and compression techniques must be adopted in order to red...
Alessandro Colombo, Claudio Cusano, Raimondo Schet...
ISCSCT
2008
IEEE
13 years 11 months ago
Large Scale Scenes Reconstruction from Multiple Views
—In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by m...
Limin Shi, Feng Zhang, Zhenhui Xu, Zhanyi Hu
FIMH
2011
Springer
12 years 8 months ago
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI
In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework tha...
Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhenn...
SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
13 years 11 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
ICIP
2006
IEEE
14 years 7 months ago
Video-Based Rendering using Feature Point Evolution
1 We propose a novel video-based rendering algorithm with a single moving camera. We reconstruct a dynamic 3D model of the scene with a feature point set that "evolves" o...
Wende Zhang, Tsuhan Chen