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» Detecting features from sliced point clouds
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CVPR
2009
IEEE
15 years 2 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang
CVPR
2008
IEEE
14 years 9 months ago
Efficient object shape recovery via slicing planes
Recovering the three-dimensional (3D) object shape lies as an unresolved and active research topic on the crosssection of computer vision, photogrammetry and bioinformatics. Altho...
Po-Lun Lai, Alper Yilmaz
WSCG
2003
273views more  WSCG 2003»
13 years 9 months ago
Towards Feature-Based Building Reconstruction from Images
This paper presents a feature-based approach to piecewise planar modeling of architectural scenes from an oriented image sequence. An improved line detection algorithm is presente...
Konrad Schindler, Joachim Bauer
CVPR
2008
IEEE
14 years 9 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
CVPR
2012
IEEE
11 years 10 months ago
Road network extraction from airborne LiDAR data using scene context
We presented a novel procedure to extract ground road networks from airborne LiDAR data. First point clouds were separated into ground and non-ground parts, and ground roads were ...
Jiaping Zhao, Suya You