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VIS
2007
IEEE
113views Visualization» more  VIS 2007»
16 years 4 months ago
Texture-based Feature Tracking for Effective Time-varying Data Visualization
Analyzing, visualizing, and illustrating changes within time-varying volumetric data is challenging due to the dynamic changes occurring between timesteps. The changes and variatio...
Jesus Caban, Alark Joshi, Penny Rheingans
IVS
2008
139views more  IVS 2008»
15 years 3 months ago
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visual...
Niklas Elmqvist, John T. Stasko, Philippas Tsigas
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
15 years 8 months ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
VISUALIZATION
1999
IEEE
15 years 7 months ago
Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
We present a new visualization method for 2d flows which allows us to combine multiple data values in an image for simultaneous viewing. We utilize concepts from oil painting, art...
Robert M. Kirby, H. Marmanis, David H. Laidlaw
VISUALIZATION
1998
IEEE
15 years 7 months ago
Image-based transfer function design for data exploration in volume visualization
Transfer function design is an integrated component in volume visualization and data exploration. The common trial-and-error approach for transfer function searching is a very dif...
Shiaofen Fang, Tom Biddlecome, Mihran Tuceryan