This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
The mapping of image processing algorithms to hardware is complicated by several hardware constraints including limited processing time, limited access to data and limited resourc...
K. T. Gribbon, Donald G. Bailey, Christopher T. Jo...
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...