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副教授 硕士生导师
招生学科专业:
计算机科学与技术 -- 【招收硕士研究生】 -- 计算机科学与技术学院
网络空间安全 -- 【招收硕士研究生】 -- 计算机科学与技术学院
电子信息 -- 【招收硕士研究生】 -- 计算机科学与技术学院
性别:男
学历:澳大利亚南昆士兰大学
学位:工学博士学位
所在单位:计算机科学与技术学院/人工智能学院/软件学院
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Occlusion-Aware Depth Map Coding Optimization Using Allowable Depth Map Distortions
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所属单位:计算机科学与技术学院/人工智能学院/软件学院
发表刊物:IEEE Trans Image Process
摘要:In depth map coding, rate-distortion optimization for those pixels that will cause occlusion in view synthesis is a rather challenging task, since the synthesis distortion estimation is complicated by the warping competition and the occlusion order can be easily changed by the adopted optimization strategy. In this paper, an efficient depth map coding approach using allowable depth map distortions is proposed for occlusion-inducing pixels. First, we derive the range of allowable depth level change for both the zero disparity error case and non-zero disparity error case with theoretic and geometrical proofs. Then, we formulate the problem of optimally selecting the depth distortion within allowable depth distortion range with the objective to minimize the overall synthesis distortion involved in the occlusion. The unicity and occlusion order invariance properties of allowable depth distortion range is demonstrated. Finally, we propose a dynamic programming based algorithm to locate the optimal depth distortion for each pixel. Simulation results illustrate the performance improvement of the proposed algorithm over the other state-of-the-art depth map coding optimization schemes. © 1992-2012 IEEE.
ISSN号:1057-7149
是否译文:否
发表时间:2019-11-01
合写作者:Smolic, Aljosa
通讯作者:高攀