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DAGM
2006
Springer
15 years 9 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
VVS
1995
IEEE
161views Visualization» more  VVS 1995»
15 years 8 months ago
Volumetric Ray Tracing
We introduce a framework for texturing volumetric objects with displacement maps and texture maps, which are introduced as volume modeling tools. In this framework, an implicit-to...
Lisa M. Sobierajski, Arie E. Kaufman
CGF
2008
137views more  CGF 2008»
15 years 5 months ago
Interaction-Dependent Semantics for Illustrative Volume Rendering
In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist. For illustrative volume visualizations it is diffic...
Peter Rautek, Stefan Bruckner, M. Eduard Gröl...
RAS
2007
117views more  RAS 2007»
15 years 4 months ago
Learning spatial concepts from RatSLAM representations
RatSLAM is a biologically-inspired visual SLAM and navigation system that has been shown to be effective indoors and outdoors on real robots. The spatial representation at the cor...
Michael Milford, Ruth Schulz, David Prasser, Gordo...
ICMCS
2005
IEEE
70views Multimedia» more  ICMCS 2005»
15 years 11 months ago
A Multimodal Complexity Comprehension-Time Framework for Automated Presentation Synthesis
In this paper, we present a joint multimodal (audio, visual and text) framework to map the informational complexity of the media elements to comprehension time. The problem is imp...
Harini Sridharan, Aankus Mani, Hari Sundaram