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PRL
2000
182views more  PRL 2000»
15 years 4 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
APGV
2004
ACM
131views Visualization» more  APGV 2004»
15 years 10 months ago
Vision-realistic rendering: simulation of the scanned foveal image from wavefront data of human subjects
We introduce the concept of vision-realistic rendering – the computer generation of synthetic images that incorporate the characteristics of a particular individual’s entire o...
Brian A. Barsky
CVPR
2000
IEEE
16 years 7 months ago
Spatio-Temporal Analysis of Omni Image
This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transpo...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
ICRA
2009
IEEE
231views Robotics» more  ICRA 2009»
15 years 11 months ago
Accurate 3D ground plane estimation from a single image
— Accurate localization of landmarks in the vicinity of a robot is a first step towards solving the SLAM problem. In this work, we propose algorithms to accurately estimate the ...
Anoop Cherian, Vassilios Morellas, Nikolaos Papani...
CGF
2007
112views more  CGF 2007»
15 years 5 months ago
Depth-of-Field Rendering by Pyramidal Image Processing
We present an image-based algorithm for interactive rendering depth-of-field effects in images with depth maps. While previously published methods for interactive depth-of-field...
Martin Kraus, Magnus Strengert