This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
We present a new fast implementation of a non-rigid registration algorithm, based on a finite element elastic deformation model using the mutual information metric with a linear e...
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images presenting gross dissimilarities due to noise, missing data...
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
A two-step elastic medical image registration approach is proposed, which is based on the image intensity. In the first step, the global affine medical image registration is used ...