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http://dx.doi.org/10.7236/JIIBC.2015.15.6.201

A Study on the Generation and Processing of Depth Map for Multi-resolution Image Using Belief Propagation Algorithm  

Jee, Innho (Dept. of Computer & Information Communications Engineering, Hongik University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.15, no.6, 2015 , pp. 201-208 More about this Journal
Abstract
3D image must have depth image for depth information in order for 3D realistic media broadcasting. We used generally belief propagation algorithm to solve probability model. Belief propagation algorithm is operated by message passing between nodes corresponding to each pixel. The high resolution image will be able to precisely represent but that required much computational complexity for 3D representation. We proposed fast stereo matching algorithm using belief propagation with multi-resolution based wavelet or lifting. This method can be shown efficiently computational time at much iterations for accurate disparity map.
Keywords
Belief Propagation; Stereo; Disparity Map; Multi-resolution;
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