Picture Coding Symposium (PCS 2022)

7-9 December 2022 • San Jose, California, USA

W3: Point Cloud and Mesh Coding
Wed, 7 Dec, 16:30 - 18:00 PST (UTC -7)
Lecture
Location: Almaden Ballroom
Session Chair: Jörn Ostermann, Leibniz Universität Hannover, Germany
Track: Visual data coding and processing
Wed, 7 Dec, 16:30 - 16:48 PST (UTC -7)

W3.1: ATTRIBUTE-AWARE PARTITIONING FOR GRAPH-BASED POINT CLOUD ATTRIBUTE CODING
Thibaut Meyer, Maria Meyer, Dominik Mehlem, Christian Rohlfing, RWTH Aachen University, Germany
Wed, 7 Dec, 16:48 - 17:06 PST (UTC -7)

W3.2: LEARNING NEURAL VOLUMETRIC FIELD FOR POINT CLOUD GEOMETRY COMPRESSION
Yueyu Hu, Yao Wang, New York University, United States of America
Wed, 7 Dec, 17:06 - 17:24 PST (UTC -7)

W3.3: BOUNDARY-PRESERVED GEOMETRY VIDEO FOR DYNAMIC MESH CODING
Chao Huang, Xiang Zhang, Jun Tian, Xiaozhong Xu, Shan Liu, Tencent, United States of America
Wed, 7 Dec, 17:24 - 17:42 PST (UTC -7)

W3.4: Motion estimation and filtered prediction for dynamic point cloud attribute compression
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, University of Southern California, Los Angeles CA. 90089 USA, United States of America; Keisuke Nonaka, KDDI Research, Inc., Japan, Japan
Wed, 7 Dec, 17:42 - 18:00 PST (UTC -7)

W3.5: LOGISTIC REGRESSION GUIDED CODING OF SINGLE CHILD MODE FOR POINT CLOUD GEOMETRY COMPRESSION
Zhecheng Wang, Shuai Wan, Lei Wei, Northwestern Polytechnical University, China