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» Image matching based on a local invariant descriptor
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146
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CVPR
2012
IEEE
13 years 3 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
107
Voted
IPMI
1999
Springer
15 years 4 months ago
The Distribution of Target Registration Error in Rigid-Body, Point-Based Registration
—Guidance systems designed for neurosurgery, hip surgery, spine surgery and for approaches to other anatomy that is relatively rigid can use rigid-body transformations to accompl...
Jay B. West, J. Michael Fitzpatrick
140
Voted
CVPR
2011
IEEE
14 years 8 months ago
Learning Object Color Models from Multi-view Constraints
Color is known to be highly discriminative for many object recognition tasks, but is difficult to infer from uncontrolled images in which the illuminant is not known. Traditional...
Trevor Owens, Kate Saenko, Trevor Darrell, Ayan Ch...
CVPR
2008
IEEE
16 years 2 months ago
The scale of a texture and its application to segmentation
This paper examines the issue of scale in modeling texture for the purpose of segmentation. We propose a scale descriptor for texture and an energy minimization model to find the ...
Byung-Woo Hong, Kangyu Ni, Stefano Soatto, Tony F....
94
Voted
WACV
2007
IEEE
15 years 6 months ago
Map-Enhanced UAV Image Sequence Registration
Registering consecutive images from an airborne sensor into a mosaic is an essential tool for image analysts. Strictly local methods tend to accumulate errors, resulting in distor...
Yuping Lin, Qian Yu, Gérard G. Medioni