LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
2024
会议录名称IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024
ISSN1063-6919
页码1281-1291
发表状态已发表
DOI10.1109/CVPR52733.2024.00128
摘要For human-centric large-scale scenes, fine-grained modeling for 3D human global pose and shape is significant for scene understanding and can benefit many real-world applications. In this paper, we present LiveHPS, a novel single-LiDAR-based approach for scene-level Human Pose and Shape estimation without any limitation of light conditions and wearable devices. In particular, we design a distillation mechanism to mitigate the distribution-varying effect of LiDAR point clouds and exploit the temporal-spatial geometric and dynamic information existing in consecutive frames to solve the occlusion and noise disturbance. LiveHPS, with its efficient configuration and high-quality output, is well-suited for real-world applications. More-over, we propose a huge human motion dataset, named FreeMotion, which is collected in various scenarios with diverse human poses, shapes and translations. It consists of multimodal and multi-view acquisition data from calibrated and synchronized LiDARs, cameras, and IMUs. Extensive experiments on our new dataset and other public datasets demonstrate the SOTA performance and robustness of our approach.
会议名称2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024
会议地点Seattle, WA, USA
会议日期16-22 June 2024
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收录类别EI
语种英语
出版者IEEE Computer Society
EI入藏号20244317260352
原始文献类型Conference article (CA)
来源库IEEE
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/359680
专题信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_虞晶怡组
信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_许岚组
信息科学与技术学院_PI研究组_马月昕
信息科学与技术学院_PI研究组_汪婧雅组
通讯作者Ma, Yuexin
作者单位
ShanghaiTech University
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
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GB/T 7714
Ren, Yiming,Han, Xiao,Zhao, Chengfeng,et al. LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment[C]:IEEE Computer Society,2024:1281-1291.
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