This paper describes the basis and behavior of segmentation of single figures in 3D by deformable m-reps models. Results are given for the segmentation of kidneys from CT and of h...
Stephen M. Pizer, Sarang C. Joshi, P. Thomas Fletc...
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
We present methods for creating 3D graphical models of scenes from a limited numbers of images, i.e. one or two, in situations where no scene co-ordinate measurements are availabl...
David Liebowitz, Antonio Criminisi, Andrew Zisserm...
Estimating the illumination and the reflectance properties
of an object surface from a sparse set of images is an
important but inherently ill-posed problem. The problem
becomes...
Kenji Hara (Kyushu University), Ko Nishino (Drexel...
We study the problem of generating plausible interpretations
of a scene from a collection of line segments automatically
extracted from a single indoor image. We show that
we ca...