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» Robust Computer Vision for Computer Mediated Communication
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BMVC
2001
15 years 7 months ago
Hierarchical Combination of Object Models using Mutual Information
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
Hannes Kruppa, Bernt Schiele
148
Voted
MIDDLEWARE
2005
Springer
15 years 10 months ago
Improving flexibility on host discovery for pervasive computing middlewares
The vision of pervasive or ubiquitous computing, conceived by Mark Weiser, foresees a world where computing is embedded in every day objects. Such objects interact with each other...
Emerson Loureiro, Loreno Oliveira, Hyggo Oliveira ...
194
Voted
ACIVS
2006
Springer
15 years 8 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICCV
2001
IEEE
16 years 6 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
ECCV
2002
Springer
16 years 6 months ago
Quasi-Dense Reconstruction from Image Sequence
Abstract. This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspo...
Maxime Lhuillier, Long Quan