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» Application of Level Set Methods in Computer Vision
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191
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ICCV
2007
IEEE
16 years 9 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
204
Voted
CVPR
2010
IEEE
16 years 2 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
190
Voted
ICPR
2010
IEEE
15 years 11 months ago
Quasi-Dense Wide Baseline Matching for Three Views
This paper proposes a method for computing a quasi-dense set of matching points between three views of a scene. The method takes a sparse set of seed matches between pairs of view...
Pekka Koskenkorva, Juho Kannala, Sami Sebastian Br...
FGR
2008
IEEE
227views Biometrics» more  FGR 2008»
16 years 2 months ago
Ambient intelligence as the bridge to the future of pervasive computing
One prediction about this future of pervasive technology is that people will carry the tools needed to interface with technological resources sprinkled through out the environment...
Christopher Richard Wren, Yuri A. Ivanov
CVPR
2009
IEEE
17 years 2 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni