In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit fro...
Jorge Lopez-Moreno, Veronica Sundstedt, Francisco ...
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
This paper builds on principles of depicting transparency in hand-made line drawings, and develops a method to generate similar, but computer-generated, line drawings in a two-ste...