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http://dx.doi.org/10.5909/JBE.2008.13.6.796

Disparity-based Depth Scaling of Multiview Images  

Jo, Cheol-Yong (Kangwon National University, Dept.. of Computer, Info. & Telecom)
Kim, Man-Bae (Kangwon National University, Dept.. of Computer, Info. & Telecom)
Um, Gi-Mun (ETRI, Broadcasting and Telecommunications Convergence Research Lab.)
Hur, Nam-Ho (ETRI, Broadcasting and Telecommunications Convergence Research Lab.)
Kim, Jin-Woong (ETRI, Broadcasting and Telecommunications Convergence Research Lab.)
Publication Information
Journal of Broadcast Engineering / v.13, no.6, 2008 , pp. 796-803 More about this Journal
Abstract
In this paper, we present a depth scaling method for multiview images that could provide an 3D depth that a user prefers. Unlike previous works that change a camera configuration, the proposed method utilizes depth data in order to carry out the scaling of a depth range requested by users. From multivew images and their corresponding depth data, depth data is transformed into a disparity and the disparity is adjusted in order to control the perceived depth. In particular, our method can deal with multiview images captured by multiple cameras, and can be expanded from stereoscopic to multiview images. Based upon a DSCQS subjective evaluation test, our experimental results tested on an automultiscopic 3D display show that the perceived depth is appropriately scaled according to user's preferred depth.
Keywords
multiview image; depth scaling; disparity; automultiscopic monitor;
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