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TVCG
1998
197views more  TVCG 1998»
15 years 3 months ago
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
—New challenges on vector field visualization emerge as time-dependent numerical simulations become ubiquitous in the field of computational fluid dynamics (CFD). To visualize da...
Han-Wei Shen, David L. Kao
169
Voted
ICCV
2011
IEEE
14 years 3 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
179
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
120
Voted
MICCAI
2003
Springer
16 years 4 months ago
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Sean C. L. Deoni, B. K. Rutt, Terry M. Peters
148
Voted
IAT
2007
IEEE
15 years 9 months ago
TIBOR: A Resource-bounded Information Foraging Agent for Visual Analytics
Visual Analytics is the science of applying reasoning and analysis techniques to large, complex real-world data for problem solving using visualizations. Real world knowledge gath...
Dingxiang Liu, Anita Raja, Jayasri Vaidyanath