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» Learning to Detect Roads in High-Resolution Aerial Images
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ICCV
2003
IEEE
14 years 6 months ago
High resolution terrain mapping using low altitude aerial stereo imagery
This paper presents an approach to build high resolution digital elevation maps from a sequence of unregistered low altitude stereovision image pairs. The approach first uses a vi...
Il-Kyun Jung, Simon Lacroix
CVPR
2008
IEEE
14 years 7 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
ECCV
2006
Springer
13 years 8 months ago
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
Anant Madabhushi, Jianbo Shi, Michael D. Feldman, ...
MVA
2000
232views Computer Vision» more  MVA 2000»
13 years 4 months ago
Automatic extraction of roads from aerial images based on scale space and snakes
We propose a new approach for automatic road extraction from aerial imagery with a model and a strategy mainly based on the multi-scale detection of roads in combination with geome...
Ivan Laptev, Helmut Mayer, Tony Lindeberg, Wolfgan...
EMMCVPR
2011
Springer
12 years 4 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...