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» Modelling perception using image processing algorithms
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BIOADIT
2004
Springer
15 years 7 months ago
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
Conventional Difference of Gaussian (DOG) filter is usually used to model the early stage of visual processing. However, convolution operation used with DOG does not explicitly a...
Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe
ICPPW
2006
IEEE
15 years 8 months ago
Retargeting Image-Processing Algorithms to Varying Processor Grain Sizes
Embedded computing architectures can be designed to meet a variety of application specific requirements. However, optimized hardware can require compiler support to realize the po...
Sam Sander, Linda M. Wills
DAGM
2011
Springer
14 years 2 months ago
Using Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
Marcel Lüthi, Christoph Jud, Thomas Vetter
PAMI
2007
123views more  PAMI 2007»
15 years 1 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
ICMI
2010
Springer
220views Biometrics» more  ICMI 2010»
14 years 11 months ago
Visual speech synthesis by modelling coarticulation dynamics using a non-parametric switching state-space model
We present a novel approach to speech-driven facial animation using a non-parametric switching state space model based on Gaussian processes. The model is an extension of the shar...
Salil Deena, Shaobo Hou, Aphrodite Galata