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» Statistical Models of Appearance for Computer Vision
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CVPR
2010
IEEE
16 years 6 days ago
Optimal HDR Reconstruction with Linear Digital Cameras
Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted av...
Miguel Granados Velasquez, Boris Ajdin, Michael Wa...
CVBIA
2005
Springer
15 years 9 months ago
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis
Accurate and robust estimation of the three-dimensional left ventricular geometry and deformation has important clinical implications for better diagnosis and understanding of isch...
Ling Zhuang, Huafeng Liu, Wei Chen, Hujun Bao, Pen...
CVPR
2009
IEEE
15 years 7 months ago
Automatic registration of LIDAR and optical images of urban scenes
Fusion of 3D laser radar (LIDAR) imagery and aerial optical imagery is an efficient method for constructing 3D virtual reality models. One difficult aspect of creating such models...
Andrew Mastin, Jeremy Kepner, John W. Fisher III
ECCB
2003
IEEE
15 years 9 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
ECCV
2008
Springer
16 years 5 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...