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What and Who

Using Visual Attention for Omnidirectional Image Classification

Amirhossein Habibian
University of Teheran
PhD Application Talk

Master student
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Monday, 21 February 2011
14:00
120 Minutes
E1 4
R024
Saarbrücken

Abstract

In this lecture we propose some methods to use computational models of visual attention for omnidirectional image classification. This lecture consists of two sections. In the first section, we propose a bottom-up model of visual attention for omnidirectional images and demonstrate its effectiveness in detecting robust regions in omnidirectional images. Afterward, we propose a top-down model of visual attention that benefits from spatial relations between scene objects to facilitate detection of the target object.

Contact

IMPRS-CS Office
0681 93 25 225
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Heike Przybyl, 02/17/2011 15:39 -- Created document.