We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
We propose a new circularity measure inspired from Arkin [1], Latecki [9] tools of shape matching that is constructed in a tangent space. We then introduce a linear algorithm that...
We propose a novel method for the refinement of Maximally Stable Extremal Region (MSER) boundaries to sub-pixel precision by taking into account the intensity function in the 2
Andrej Mikulik, Jiri Matas, Michal Perdoch, Ondrej...
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 introduces a new method for analyzing scaling phenomena in natural images, and draws some consequences as to whether natural images belong to the space of functions with...