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» Bayesian Model of Surface Perception
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IJCAI
2003
13 years 9 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
ICIAR
2004
Springer
14 years 28 days ago
Environment Authentication Through 3D Structural Analysis
Abstract. We address the validation of the current sensed environmental state against a model known from earlier perception. Our surface based approach compares 3D range data of a ...
Toby P. Breckon, Robert B. Fisher
CVPR
2009
IEEE
15 years 2 months ago
Angular Embedding: from Jarring Intensity Differences to Perceived Luminance
Our goal is to turn an intensity image into its perceived luminance without parsing it into depths, surfaces, or scene illuminations. We start with jarring intensity differences at...
Stella X. Yu
JFR
2008
87views more  JFR 2008»
13 years 7 months ago
Hough based terrain classification for realtime detection of drivable ground
The usability of mobile robots for surveillance, search and rescue missions can be significantly improved by intelligent functionalities decreasing the cognitive load on the opera...
Jann Poppinga, Andreas Birk 0002, Kaustubh Pathak
CG
2005
Springer
13 years 7 months ago
A simple normal enhancement technique for interactive non-photorealistic renderings
We present a simple technique to improve the perception of an object's shape. Bump mapping is well known in the computer graphics community for providing the impression of sm...
Paolo Cignoni, Roberto Scopigno, Marco Tarini