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» A Generative Model Based Approach to Motion Segmentation
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CVPR
2009
IEEE
15 years 3 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
ICIP
2009
IEEE
14 years 9 months ago
Efficient Edge, Motion And Depth-range Adaptive Processing For Enhancement Of Multi-view Depth Map Sequences
We present a novel and efficient multi-view depth map enhancement method proposed as a post-processing of initially estimated depth maps. The proposed method is based on edge, mot...
ICRA
2000
IEEE
180views Robotics» more  ICRA 2000»
14 years 16 days ago
Interactive Motion Planning Using Hardware-Accelerated Computation of Generalized Voronoi Diagrams
We present techniques for fast motion planning by using discrete approximations of generalized Voronoi diagrams, computed with graphics hardware. Approaches based on this diagram ...
Kenneth E. Hoff III, Tim Culver, John Keyser, Ming...
SELMAS
2004
Springer
14 years 1 months ago
A Generative Approach for Multi-agent System Development
The development of Multi-Agent Systems (MASs) involves special concerns, such as interaction, adaptation, autonomy, among others. Many of these concerns are overlapping, crosscut e...
Uirá Kulesza, Alessandro F. Garcia, Carlos ...
ICCV
2007
IEEE
14 years 10 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...