The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. Due to the natur...
Recently, various technologies have become available for scanning real-world objects, enabling rapid and accurate shape acquisition. In most cases, such solutions have high cost, ...
The Cramer-Rao error bound provides a fundamental limit on the expected performance of a statistical estimator. The error bound depends on the general properties of the system, bu...