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» Feature Preserving Mesh Generation from 3D Point Clouds
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ECCV
2010
Springer
13 years 9 months ago
2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds
We present a robust approach to creating 2.5D building models from aerial LiDAR point clouds. The method is guaranteed to produce crack-free models composed of complex roofs and ve...
Qian-Yi Zhou, Ulrich Neumann
SIGGRAPH
2010
ACM
13 years 9 months ago
Discrete scale axis representations for 3D geometry
This paper addresses the fundamental problem of computing stable medial representations of 3D shapes. We propose a spatially adaptive classification of geometric features that yi...
Balint Miklos, Joachim Giesen, Mark Pauly
SMA
2009
ACM
228views Solid Modeling» more  SMA 2009»
13 years 11 months ago
Robust mesh reconstruction from unoriented noisy points
We present a robust method to generate mesh surfaces from unoriented noisy points in this paper. The whole procedure consists of three steps. Firstly, the normal vectors at points...
Hoi Sheung, Charlie C. L. Wang
ICASSP
2011
IEEE
12 years 8 months ago
3D image geo-registration using vision-based modeling
Image geo-registration is the process of relating a photograph and its pose to referenced world coordinates. The application is relevant, especially to the social networking, phot...
Karl Ni, Zachary Sun, Nadya Bliss
ECCV
2004
Springer
14 years 6 months ago
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
In this paper, we propose a new PDE-based methodology for deformable surfaces that is capable of automatically evolving its shape to capture the geometric boundary of the data and ...
Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras