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LiCamPose combines LiDAR and RGB cameras for 3D human pose estimation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LiCamPose, a novel pipeline that integrates multi-view LiDAR and RGB camera data to achieve robust single-timestamp 3D human pose estimation. This approach addresses the limited study of multimodal inputs for 3D pose extraction. To overcome the need for manual annotations, the system includes a synthetic dataset generator and an unsupervised domain adaptation strategy. AI

IMPACT Introduces a new method for 3D human pose estimation using multimodal sensor fusion, potentially improving applications in robotics and augmented reality.

RANK_REASON This is a research paper detailing a new method for 3D human pose estimation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LiCamPose combines LiDAR and RGB cameras for 3D human pose estimation

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This is a research paper detailing a new method for 3D human pose estimation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie Zhou ·

    LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation

    arXiv:2312.06409v4 Announce Type: replace Abstract: Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions. However, there are limited approaches study…

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