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» Surface Reconstruction using Learned Shape Models
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ICPR
2006
IEEE
14 years 10 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
ECCV
2010
Springer
14 years 2 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
MVA
2007
112views Computer Vision» more  MVA 2007»
13 years 10 months ago
A Physics-Based Imaging Model of Scanning Electron Microscopes
This paper discusses a physics-based imaging model of scanning electron microscopes (SEM). The purpose is to accurately examine the imaging process of a SEM, which has to be neces...
Kousuke Kamada, Takayuki Okatani, Koichiro Deguchi
ICIP
2009
IEEE
14 years 10 months ago
Model-based Shape Recovery From Single Images Of General And Unknown Lighting
We present a new statistical shape-from-shading framework for images of unknown illumination. The object (e.g., face) to be reconstructed is described by a parametric model. To de...
FBIT
2007
IEEE
14 years 1 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...