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» Application of Level Set Methods in Computer Vision
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HICSS
2002
IEEE
130views Biometrics» more  HICSS 2002»
15 years 11 months ago
A Set Theory Based Approach on Applying Domain Semantics to XML Structures
As XML is gathering more and more importance in the field of data interchange in distributed business to business (B2B) applications, it is increasingly important to provide a for...
Wolfgang Schuetzelhofer, Karl M. Göschka
ACCV
2006
Springer
16 years 12 days ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter
149
Voted
ICPR
2008
IEEE
16 years 26 days ago
Improved percolation-based method for crack detection in concrete surface images
This paper presents a highly accurate and efficient method for crack detection using percolation-based image processing. The detection of cracks in concrete surfaces during the ma...
Tomoyuki Yamaguchi, Shuji Hashimoto
CVPR
2007
IEEE
16 years 8 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
ICPR
2000
IEEE
15 years 10 months ago
Efficient Super-Resolution and Applications to Mosaics
Mosaicingand super resolution are two ways to combine information from multiple frames in video sequences. Mosaicing displays the information of multiple frames in a single panora...
Assaf Zomet, Shmuel Peleg