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» Modeling microstructure noise using Hawkes processes
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95
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3DIM
1997
IEEE
15 years 5 months ago
A System for Semi-Automatic Modeling of Complex Environments
We present a perception system, called Artisan, that semi-automatically builds 3-D models of a robot’s workspace. Range images are acquired with a scanning laser rangefinder an...
Andrew Edie Johnson, Regis Hoffman, Jim Osborn, Ma...
PAMI
2007
123views more  PAMI 2007»
15 years 8 days ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
129
Voted
BMVC
2010
14 years 10 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
89
Voted
ICIP
2004
IEEE
16 years 2 months ago
A fine-structure image/video quality measure using local statistics
An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, es...
Kyungnam Kim, Larry S. Davis
82
Voted
ICIAP
2005
ACM
16 years 27 days ago
Efficient Shape Matching Using Weighted Edge Potential Functions
An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity meas...
Minh-Son Dao, Francesco DeNatale, Andrea Massa