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» Semi-automated 3-D Building Extraction from Stereo Imagery
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AIPR
2006
IEEE
13 years 6 months ago
Semi-automated 3-D Building Extraction from Stereo Imagery
The production of geospatial information from overhead imagery is generally a labor-intensive process. Analysts must accurately delineate and extract important features, such as b...
Sung Chun Lee, Keith E. Price, Ramakant Nevatia, T...
ECCV
1996
Springer
14 years 6 months ago
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2-D edge information, photometric and chromatic attributes and 3-D informati...
Frank Bignone, Olof Henricsson, Pascal Fua, Markus...
AIPR
2007
IEEE
13 years 11 months ago
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
Geometric structure of a scene can be reconstructed using many methods. In recent years, two prominent approaches have been digital photogrammetric analysis using passive stereo i...
Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey E....
ICCV
2011
IEEE
12 years 4 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
ICIP
2002
IEEE
13 years 9 months ago
Automatic and interactive modeling of buildings in urban environments from aerial images
Automatically extracting object models from images is a complex task. We describe research in extracting 3-D models of buildings from aerial images. This work has resulted in seve...
Ramakant Nevatia, Keith E. Price