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» Testing of Image Processing Algorithms on Synthetic Data
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CVPR
2007
IEEE
16 years 5 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart
111
Voted
ICIP
2002
IEEE
16 years 4 months ago
Image registration in multispectral data sets
The paper discusses the matching of two multispectral data sets using the Genetic Algorithm (GA) as a search technique for the global optimum estimates of the transformation param...
Aly A. Farag, Hani Mahdi
ISMM
2009
Springer
15 years 9 months ago
A Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology
In order to describe anisotropy in image processing models or physical measurements, matrix fields are a suitable choice. In diffusion tensor magnetic resonance imaging (DT-MRI),...
Luis Pizarro, Bernhard Burgeth, Michael Breuß...
ICASSP
2011
IEEE
14 years 7 months ago
Tonal context labeling using quantized F0 symbols for improving tone correctness in average-voice-based speech synthesis
This paper proposes a technique for improving tone correctness in Thai speech synthesis based on an average voice model trained with nonprofessional speech corpus. The proposed te...
Vataya Chunwijitra, Takashi Nose, Takao Kobayashi
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 9 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox