A Study on the Generation and Processing of Depth Map for Multi-resolution Image Using Belief Propagation Algorithm
정회원, 홍익대학교 컴퓨터정보통신공학과, Innho Jee · 한국인터넷방송통신학회 논문지 · 2015
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.