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» Application of Level Set Methods in Computer Vision
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208
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ICCV
2009
IEEE
17 years 15 days ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
185
Voted
ICPR
2004
IEEE
16 years 8 months ago
Alignment of Multiple Non-Overlapping Axially Symmetric 3D Datasets
Uknown to us, an axially-symmetric surface is broken into disjoint pieces along a set of break-curves, i.e., the curves along which the surface locally breaks into two pieces. A s...
Andrew R. Willis, David B. Cooper
212
Voted
CVPR
2007
IEEE
16 years 9 months ago
Discontinuity Preserving Filtering over Analytic Manifolds
Discontinuity preserving filtering of images is an important low-level vision task. With the development of new imaging techniques like diffusion tensor imaging (DTI), where the d...
Raghav Subbarao, Peter Meer
215
Voted
CVPR
2008
IEEE
16 years 9 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
203
Voted
ICPR
2008
IEEE
16 years 2 months ago
Specularity removal and relighting of 3D object model for virtual exhibition
To create photorealistic three-dimensional (3D) model of real objects is a challenging computer vision problem. While there are methods for 3D digitization of objects with high ge...
Shu-Kam Chow, Kwok-Leung Chan