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» Optimal Algorithms in Multiview Geometry
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JMLR
2010
121views more  JMLR 2010»
13 years 2 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
ICCV
2011
IEEE
12 years 7 months ago
Multi-View 3D Reconstruction for Scenes under the Refractive Plane with Known Vertical Direction
Images taken from scenes under water suffer distortion due to refraction. While refraction causes magnification with mild distortion on the observed images, severe distortions in...
Yao-Jen Chang, Tsuhan Chen
CVPR
2010
IEEE
14 years 3 months ago
Hybrid Multi-view Reconstruction by Jump-Diffusion
We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a compact model while preservi...
Florent Lafarge, Renaud Keriven, Mathieu Bredif, H...
IJCV
2006
142views more  IJCV 2006»
13 years 7 months ago
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes
The computation of a rigid body transformation which optimally aligns a set of measurement points with a surface and related registration problems are studied from the viewpoint o...
Helmut Pottmann, Qi-Xing Huang, Yong-Liang Yang, S...
CVPR
2001
IEEE
14 years 9 months ago
Simultaneous linear estimation of multiple view geometry and lens distortion
A bugbear of uncalibrated stereo reconstruction is that cameras which deviate from the pinhole model have to be pre-calibrated in order to correct for nonlinear lens distortion. I...
Andrew W. Fitzgibbon