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ECCV
2008
Springer
16 years 8 months ago
Flexible Depth of Field Photography
The range of scene depths that appear focused in an image is known as the depth of field (DOF). Conventional cameras are limited by a fundamental trade-off between depth of field a...
Hajime Nagahara, Sujit Kuthirummal, Changyin Zhou,...
IJCNN
2006
IEEE
16 years 2 days ago
Biologically Inspired KFLANN Place Fields for Robot Localization
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
Alex Leng Phuan Tay
SIAMIS
2010
378views more  SIAMIS 2010»
15 years 24 days ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ICCV
2003
IEEE
16 years 8 months ago
Fast Intensity-based 2D-3D Image Registration of Clinical Data Using Light Fields
Registration of a preoperative CT (3D) image to one or more X-ray projection (2D) images, a special case of the pose estimation problem, has been attempted in a variety of ways wi...
Daniel B. Russakoff, Torsten Rohlfing, Calvin R. M...
JASIS
2011
103views more  JASIS 2011»
15 years 1 months ago
Using global mapping to create more accurate document-level maps of research fields
We describe two general approaches to creating document-level maps of science. To create a local map one defines and directly maps a sample of data, such as all literature publish...
Richard Klavans, Kevin W. Boyack