DocumentCode :
2363115
Title :
Depth Perception from three blurred images
Author :
Simon, Thierry ; Simon, Christophe
Author_Institution :
Equipe Perceval de l´´IUT de Figeac
fYear :
2006
fDate :
6-10 Nov. 2006
Firstpage :
3222
Lastpage :
3226
Abstract :
Our idea deals with a spatial approach of depth perception based on blur analysis with three images of the same scene. In the first part of the paper, we discuss some models used and the assumptions made. We demonstrate how depth cues can be extracted from images of the same scene. Theoretical developments are made to highlight the possibilities of developing our method for real-time applications. This paper presents some numerical experiments to show the accuracy of the method
Keywords :
feature extraction; image resolution; blur analysis; blurred images; depth perception; image extraction; Apertures; Cameras; Computed tomography; Data mining; Focusing; Geometrical optics; Image analysis; Layout; Optical sensors; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
ISSN :
1553-572X
Print_ISBN :
1-4244-0390-1
Type :
conf
DOI :
10.1109/IECON.2006.347470
Filename :
4152967
Link To Document :
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