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CVPR
2008
IEEE
16 years 6 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
CVPR
2008
IEEE
16 years 6 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
ICIP
2005
IEEE
16 years 6 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...
CHI
2007
ACM
16 years 4 months ago
Towards developing assistive haptic feedback for visually impaired internet users
Haptic technologies are thought to have the potential to help blind individuals overcome the challenges experienced when accessing the Web. This paper proposes a structured partic...
Ravi Kuber, Wai Yu, Graham McAllister
AMFG
2007
IEEE
327views Biometrics» more  AMFG 2007»
15 years 10 months ago
Integrating Multiple Visual Cues for Robust Real-Time 3D Face Tracking
Abstract. 3D face tracking is an important component for many computer vision applications. Most state-of-the-art tracking algorithms can be characterized as being either intensity...
Wei-Kai Liao, Douglas Fidaleo, Gérard G. Me...