Title :
Controlling the Visual Attention with Layered Dual Pyramid Architecture
Author :
Barta, András ; Vajk, István
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
fDate :
June 29 2007-July 2 2007
Abstract :
Visual attention is a fast developing area of the pattern recognition field. The area has been drawn the attention of the research community, because the theory has solid biophysical support and it is capable of bringing together the various concepts of pattern recognition. The paper presents a network architecture that is capable of providing bottom up, top-down and lateral information flow. The framework to accomplish the three-directional information flow is the Layered Dual Pyramid (LDP) architecture.
Keywords :
pattern recognition; lateral information flow; layered dual pyramid architecture; pattern recognition; visual attention; Automatic control; Automation; Focusing; Image processing; Information processing; Neurons; Object recognition; Pattern recognition; Sections; Solids;
Conference_Titel :
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location :
Budapest
Print_ISBN :
1-4244-1147-5
Electronic_ISBN :
1-4244-1148-3
DOI :
10.1109/INES.2007.4283677