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CVPR
2008
IEEE
14 years 8 months ago
Minimal solutions for generic imaging models
A generic imaging model refers to a non-parametric camera model where every camera is treated as a set of unconstrained projection rays. Calibration would simply be a method to ma...
Srikumar Ramalingam, Peter F. Sturm
CVPR
2005
IEEE
14 years 8 months ago
Bayesian 3D Modeling from Images Using Multiple Depth Maps
This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...
Pau Gargallo, Peter F. Sturm
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
13 years 11 months ago
Balanced state-space representations: a polynomial algebraic approach
Abstract— We show how to compute a minimal Riccatibalanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly...
Paolo Rapisarda, Harry L. Trentelman
CVPR
2009
IEEE
15 years 1 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
CG
2005
Springer
13 years 6 months ago
A novel constrained texture mapping method based on harmonic map
In this paper, we present a novel constrained texture mapping method based on the harmonic map. We first project the surface of a 3D model on a planar domain by an angle-based-fla...
Yanwen Guo, Jin Wang, Hanqiu Sun, Xiufen Cui, Quns...