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» On the Spatial Statistics of Optical Flow
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CVPR
2009
IEEE
15 years 2 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
BC
2006
132views more  BC 2006»
13 years 7 months ago
Local visual homing by matched-filter descent in image distances
Abstract In natural images, the distance measure between two images taken at different locations rises smoothly with increasing distance between the locations. This fact can be exp...
Ralf Möller, Andrew Vardy
DAGSTUHL
2010
13 years 9 months ago
Towards Automatic Feature-based Visualization
Visualizations are well suited to communicate large amounts of complex data. With increasing resolution in the spatial and temporal domain simple imaging techniques meet their lim...
Heike Jänicke, Gerik Scheuermann
NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 7 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
SCVMA
2004
Springer
14 years 29 days ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel