We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
In this paper, we propose an efficient technique to detect changes in the geometry of an urban environment using some images observing its current state. The proposed method can ...
We present a method for real-time image based simulation of gaseous material such as fire and smoke. We model the kinematics of these phenomena by a mass-spring system, and their ...
Image based mail piece identification is a new technology for optimizing the postal sorting process. Exploiting the mail piece surface uniqueness, characteristic features are used...