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» Probability Models for High Dynamic Range Imaging
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ECCV
2002
Springer
15 years 11 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
IJRR
2006
120views more  IJRR 2006»
14 years 9 months ago
Vibration Estimation of Flexible Space Structures using Range Imaging Sensors
Future space applications will require robotic systems to assemble, inspect, and maintain large space structures in orbit. For effective planning and control, robots will need to ...
Matthew D. Lichter, Hiroshi Ueno, Steven Dubowsky
PERCOM
2010
ACM
14 years 8 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
ICIAR
2007
Springer
15 years 3 months ago
Model-Guided Luminance Range Enhancement in Mixed Reality
Abstract. Mixed Reality (MR) applications tend to focus on the accuracy of registration between the virtual and real objects of a scene, while paying relatively little attention to...
Yunjun Zhang, Charles E. Hughes
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 3 months ago
Shape, Motion, and Parameter Estimation of Large Flexible Space Structures using Range Images
– Future space missions are expected to use robotic systems to assemble, inspect, and maintain large space structures in orbit. To carry out these tasks, robots need to know the ...
Matthew D. Lichter, Steven Dubowsky