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» Detecting features from sliced point clouds
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CVPR
2009
IEEE
16 years 9 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
16 years 3 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
136
Voted
WSCG
2003
273views more  WSCG 2003»
15 years 3 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
16 years 3 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
13 years 4 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