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IJON
2008
186views more  IJON 2008»
14 years 10 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
RAS
2008
139views more  RAS 2008»
14 years 9 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
101
Voted
ICASSP
2010
IEEE
14 years 8 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
JOCN
2010
117views more  JOCN 2010»
14 years 8 months ago
Early Top-Down Control of Visual Processing Predicts Working Memory Performance
■ Selective attention confers a behavioral benefit on both perceptual and working memory (WM) performance, often attributed to top–down modulation of sensory neural processing...
Aaron M. Rutman, Wesley C. Clapp, James Z. Chadick...
ICMI
2010
Springer
217views Biometrics» more  ICMI 2010»
14 years 8 months ago
Focusing computational visual attention in multi-modal human-robot interaction
Identifying verbally and non-verbally referred-to objects is an important aspect of human-robot interaction. Most importantly, it is essential to achieve a joint focus of attentio...
Boris Schauerte, Gernot A. Fink