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TIFS
2008
113views more  TIFS 2008»
15 years 6 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du
PRL
2000
182views more  PRL 2000»
15 years 6 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
PAMI
2007
169views more  PAMI 2007»
15 years 6 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz
PAMI
2007
156views more  PAMI 2007»
15 years 6 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
PAMI
2010
396views more  PAMI 2010»
15 years 5 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu