DocumentCode :
1997765
Title :
Improving depth perception with motion parallax and its application in teleconferencing
Author :
Zhang, Cha ; Yin, Zhaozheng ; Florêncio, Dinei
Author_Institution :
Commun. & Collaboration Group, Microsoft Res., Redmond, WA, USA
fYear :
2009
fDate :
5-7 Oct. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Depth perception, or 3D perception, can add a lot to the feeling of immersiveness in many applications such as 3D TV, 3D teleconferencing, etc. Stereopsis and motion parallax are two of the most important cues for depth perception. Most of the 3D displays today rely on stereopsis to create 3D perception. In this paper, we propose to improve user´s depth perception by tracking their motions and creating motion parallax for the rendered image, which can be done even with legacy displays. Two enabling technologies, face tracking and foreground/background segmentation, are discussed in detail. In particular, we propose an efficient and robust feature based face tracking algorithm that is capable of estimating the face´s location and scale accurately. We also propose a novel foreground/background segmentation and matting algorithm with time-of-flight camera, which is robust to moving background, lighting variations, moving camera, etc. We demonstrate the application of the above technologies in teleconferencing on legacy displays to create pseudo-3D effects.
Keywords :
computer vision; image motion analysis; teleconferencing; 3D perception; depth perception; face tracking; face tracking algorithm; foreground/background segmentation; motion parallax; stereopsis; teleconferencing; time-of-flight camera; Animation; Application software; Cameras; Glass; Image segmentation; Rendering (computer graphics); Robustness; Teleconferencing; Three dimensional displays; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location :
Rio De Janeiro
Print_ISBN :
978-1-4244-4463-2
Electronic_ISBN :
978-1-4244-4464-9
Type :
conf
DOI :
10.1109/MMSP.2009.5293309
Filename :
5293309
Link To Document :
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