DocumentCode :
2305092
Title :
Dense Depth Map Estimation for Multiple View Coding
Author :
Ozkalayci, Burak ; Alatan, A. Aydin
Author_Institution :
Electrik ve Electronik Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara
fYear :
2006
fDate :
17-19 April 2006
Firstpage :
1
Lastpage :
4
Abstract :
In this paper the basics of a proposed method that handles the stereo and especially multiple view coding problem in a geometrical way, are explained. For this purpose, estimation of the depth maps of the multiple views, captured by fully calibrated cameras, are done. In depth map estimation problem Markov random field modeling is used to have a depth map in a desired smoothness and in an efficient coding fashion. The geometric structure which is acquired by the depth map estimation is used to reconstruct the all camera views and the PSNR values of the reconstructed images are calculated for the coding aspects
Keywords :
Markov processes; image reconstruction; stereo image processing; video cameras; video coding; Markov random field model; camera calibration; dense depth map estimation; geometrical way; image reconstruction; multiple view coding; Cameras; Distributed decision making; Image coding; Image reconstruction; Markov random fields; PSNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
Type :
conf
DOI :
10.1109/SIU.2006.1659761
Filename :
1659761
Link To Document :
بازگشت