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IVC
2007
99views more  IVC 2007»
13 years 10 months ago
On the Bayes fusion of visual features
We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the result...
Xiaojin Shi, Roberto Manduchi
MICCAI
2010
Springer
13 years 8 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
PAMI
2010
215views more  PAMI 2010»
13 years 8 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...
CVPR
2007
IEEE
15 years 11 days ago
The Effect of Pixel-Level Fusion on Object Tracking in Multi-Sensor Surveillance Video
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (IR) surveillance cameras on object tracking performance, as compared to trackin...
Nedeljko Cvejic, Stavri G. Nikolov, Henry D. Knowl...
ICIP
2004
IEEE
14 years 12 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy