DocumentCode :
2279658
Title :
Efficient multiview depth representation based on image segmentation
Author :
De Raffaele, Clifford ; Camilleri, Kenneth P. ; Debono, Carl J. ; Farrugia, Reuben A.
Author_Institution :
Dept. of Syst. & Control Eng., Univ. of Malta, Msida, Malta
fYear :
2012
fDate :
7-9 May 2012
Firstpage :
65
Lastpage :
68
Abstract :
The persistent improvements witnessed in multimedia production have considerably augmented users demand for immersive 3D systems. Expedient implementation of this technology however, entails the need for significant reduction in the amount of information required for representation. Depth image-based rendering algorithms have considerably reduced the number of images necessary for 3D scene reconstruction, nevertheless the compression of depth maps still poses several challenges due to the peculiar nature of the data. To this end, this paper proposes a novel depth representation methodology that exploits the intrinsic correlation present between colour intensity and depth images of a natural scene. A segmentation-based approach is implemented which decreases the amount of information necessary for transmission by a factor of 24 with respect to conventional JPEG algorithms whilst maintaining a quasi identical reconstruction quality of the 3D views.
Keywords :
augmented reality; image colour analysis; image representation; image segmentation; multimedia communication; rendering (computer graphics); 3D scene reconstruction; 3D views; JPEG algorithms; augmented users; depth image-based rendering algorithms; depth images; depth map compression; image colour intensity; image segmentation; immersive 3D systems; multimedia production; multiview depth representation; natural scene; quasi identical reconstruction quality; Image coding; Image color analysis; Image reconstruction; Image segmentation; Rendering (computer graphics); Three dimensional displays; Transform coding; 3D scene processing; depth-map representation; multiview images; segmentation-based coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
Type :
conf
DOI :
10.1109/PCS.2012.6213287
Filename :
6213287
Link To Document :
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