DocumentCode :
2535498
Title :
Objective evaluation of light field rendering methods using effective sampling density
Author :
Shidanshidi, Hooman ; Safaei, Farzad ; Li, Wanqing
Author_Institution :
ICT Res. Inst., Univ. of Wollongong, Wollongong, NSW, Australia
fYear :
2011
fDate :
17-19 Oct. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Light field rendering (LFR) is an active research area in computer vision and computer graphics. LFR plays a crucial role in free viewpoint video systems (FVV). Several rendering algorithms have been suggested for LFR. However, comparative evaluation of these methods is often limited to subjective assessment of the output. To overcome this problem, this paper presents a geometric measurement, Effective Sampling Density of the scene, referred to as effective sampling for brevity, for objective comparison and evaluation of LFR algorithms. We have derived the effective sampling for the well-known LFR methods. Both theoretical study and numerical simulation have shown that the proposed effective sampling is an effective indicator of the performance for LFR methods.
Keywords :
computer vision; numerical analysis; rendering (computer graphics); sampling methods; video signal processing; LFR algorithm; computer graphics; computer vision; effective sampling density; free viewpoint video system; geometric measurement; light field rendering method; numerical simulation; Cameras; Electrostatic discharges; Interpolation; Mathematical model; Rendering (computer graphics); Slabs; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1432-0
Electronic_ISBN :
978-1-4577-1433-7
Type :
conf
DOI :
10.1109/MMSP.2011.6093799
Filename :
6093799
Link To Document :
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