Model-Based Encoding Parameter Optimization for 3D Point Cloud Compression

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publication2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings
PublisherIEEE
Pages1981-1986
ISBN (Electronic)978-9-8814-7685-2
Publication statusPublished - Nov 2018

Publication series

NameAsia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC - Proceedings

Conference

Title10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
PlaceUnited States
CityHonolulu
Period12 - 15 November 2018

Abstract

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.

Citation Format(s)

Model-Based Encoding Parameter Optimization for 3D Point Cloud Compression. / Liu, Qi; Yuan, Hui; Hou, Junhui; Liu, Hao; Hamzaoui, Raouf.

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) - Proceedings. IEEE, 2018. p. 1981-1986 8659653 (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)