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» Computing Visual Attention from Scene Depth
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3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
15 years 4 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little
SIGGRAPH
1997
ACM
15 years 4 months ago
Recovering high dynamic range radiance maps from photographs
We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are...
Paul E. Debevec, Jitendra Malik
105
Voted
TVCG
2008
124views more  TVCG 2008»
15 years 18 days ago
Effective visualization of complex vascular structures using a non-parametric vessel detection method
The effective visualization of vascular structures is critical for diagnosis, surgical planning as well as treatment evaluation. In recent work, we have developed an algorithm for ...
Alark Joshi, Xiaoning Qian, Donald P. Dione, Ketan...
141
Voted
CVPR
2009
IEEE
16 years 7 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
ICVS
2003
Springer
15 years 6 months ago
A Software Architecture for Distributed Visual Tracking in a Global Vision Localization System
The paper considers detecting and tracking multiple moving objects in real time by a multiagent active vision system. The main objective of the envisioned system is to maintain an ...
Sinisa Segvic, Slobodan Ribaric