标题:Model-Based Encoding Parameter Optimization for 3D Point Cloud Compression
作者:Liu, Qi ;Yuan, Hui ;Hou, Junhui ;Liu, Hao ;Hamzaoui, Raouf
作者机构:[Liu, Qi ;Yuan, Hui ;Liu, Hao ] School of Information Science and Engineering, Shandong University, Shandong, China;[Hamzaoui, Raouf ] School of Engin 更多
会议名称:10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
会议日期:12 November 2018 through 15 November 2018
来源:2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
出版年:2019
页码:1981-1986
DOI:10.23919/APSIPA.2018.8659653
摘要:Rate-distortion optimal 3D point cloud compression is very challenging due to the irregular structure of 3D point clouds. For a popular 3D point cloud codec that uses octrees for geometry compression and JPEG for color compression, we first find analytical models that describe the relationship between the encoding parameters and the bitrate and distortion, respectively. We then use our models to formulate the rate-distortion optimization problem as a constrained convex optimization problem and apply an interior point method to solve it. Experimental results for six 3D point clouds show that our technique gives similar results to exhaustive search at only about 1.57% of its computational cost. © 2018 APSIPA organization.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063451782&doi=10.23919%2fAPSIPA.2018.8659653&partnerID=40&md5=49dfa3025a465abc03416abc4a65a761
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