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» Structure and View Estimation for Tomographic Reconstruction...
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JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ECCV
2002
Springer
14 years 9 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
3DPVT
2006
IEEE
251views Visualization» more  3DPVT 2006»
13 years 11 months ago
Line-Based Structure from Motion for Urban Environments
We present a novel method for recovering the 3D-line structure of a scene from multiple widely separated views. Traditional optimization-based approaches to line-based structure f...
Grant Schindler, Panchapagesan Krishnamurthy, Fran...
CVPR
2009
IEEE
1587views Computer Vision» more  CVPR 2009»
15 years 1 months ago
High Dynamic Range Image Reconstruction from Hand-held Cameras
This paper presents a technique for reconstructing a high-quality high dynamic range (HDR) image from a set of differently exposed and possibly blurred images taken with a hand-hel...
Pei-Ying Lu, Tz-Huan Huang, Meng-Sung Wu, Yi-Ting ...
ECCV
2004
Springer
14 years 9 months ago
Structure and Motion from Images of Smooth Textureless Objects
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...