A Dynamic 3D Point Cloud Dataset for Immersive Applications

Yuan Chun Sun, I. Chun Huang, Yuang Shi, Wei Tsang Ooi, Chun Ying Huang, Cheng Hsin Hsu

研究成果: Conference contribution同行評審

摘要

Motion estimation in a 3D point cloud sequence is a fundamental operation with many applications, including compression, error concealment, and temporal upscaling. While there have been multiple research contributions toward estimating the motion vector of points between frames, there is a lack of a dynamic 3D point cloud dataset with motion ground truth to benchmark against. In this paper, we present an open dynamic 3D point cloud dataset to fill this gap. Our dataset consists of synthetically generated objects with pre-determined motion patterns, allowing us to generate the motion vectors for the points. Our dataset contains nine objects in three categories (shape, avatar, and textile) with different animation patterns. We also provide semantic segmentation of each avatar object in the dataset. Our dataset can be used by researchers who need temporal information across frames. As an example, we present an evaluation of two motion estimation methods using our dataset.

原文English
主出版物標題MMSys 2023 - Proceedings of the 14th ACM Multimedia Systems Conference
發行者Association for Computing Machinery, Inc
頁面376-383
頁數8
ISBN(電子)9798400701481
DOIs
出版狀態Published - 7 6月 2023
事件14th ACM Multimedia Systems Conference, MMSys 2023 - Vancouver, Canada
持續時間: 7 6月 202310 6月 2023

出版系列

名字MMSys 2023 - Proceedings of the 14th ACM Multimedia Systems Conference

Conference

Conference14th ACM Multimedia Systems Conference, MMSys 2023
國家/地區Canada
城市Vancouver
期間7/06/2310/06/23

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