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» Holistic Context Models for Visual Recognition
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ECAI
2008
Springer
14 years 11 months ago
Salience-driven Contextual Priming of Speech Recognition for Human-Robot Interaction
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
Pierre Lison, Geert-Jan M. Kruijff
TOG
2008
171views more  TOG 2008»
14 years 9 months ago
3D unsharp masking for scene coherent enhancement
We present a new approach for enhancing local scene contrast by unsharp masking over arbitrary surfaces under any form of illumination. Our adaptation of a well-known 2D technique...
Tobias Ritschel, Kaleigh Smith, Matthias Ihrke, Th...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 3 months ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...
85
Voted
CVIU
2006
317views more  CVIU 2006»
14 years 9 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
ESSLLI
2009
Springer
14 years 7 months ago
A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction
We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
Pierre Lison