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» Multiple Object Class Detection with a Generative Model
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ICIP
1999
IEEE
16 years 6 months ago
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
CSDA
2006
102views more  CSDA 2006»
15 years 5 months ago
An improved Akaike information criterion for state-space model selection
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
Thomas Bengtsson, Joseph E. Cavanaugh
AE
2001
Springer
15 years 9 months ago
Markov Random Field Modelling of Royal Road Genetic Algorithms
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
IJON
2011
186views more  IJON 2011»
14 years 8 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICCV
2003
IEEE
16 years 7 months ago
Efficient, Robust and Accurate Fitting of a 3D Morphable Model
3D Morphable Models, as a means to generate images of a class of objects and to analyze them, have become increasingly popular. The problematic part of this framework is the regis...
Sami Romdhani, Thomas Vetter