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CVPR
2012
IEEE
11 years 7 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
TIP
2010
150views more  TIP 2010»
13 years 3 months ago
Study of Subjective and Objective Quality Assessment of Video
Abstract—We present the results of a recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant processes. Meth...
Kalpana Seshadrinathan, Rajiv Soundararajan, Alan ...
ISBI
2006
IEEE
14 years 5 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...
FIMH
2007
Springer
13 years 11 months ago
Statistical Comparison of Cardiac Fibre Architectures
Abstract. In this paper, a statistical atlas of DT-MRIs based on a population of nine ex vivo normal canine hearts is compared with a human cardiac DT-MRI and a commonly used synth...
Jean-Marc Peyrat, Maxime Sermesant, Xavier Pennec,...
ISMAR
2006
IEEE
13 years 10 months ago
Online camera pose estimation in partially known and dynamic scenes
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on of...
Gabriele Bleser, Harald Wuest, Didier Stricker