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English(EN) TSR-Ego: Temporally Guided Stereo Refinement Framework for Egocentric 3D Human Pose Estimation

TSR-Ego框架改进了以自我为中心的3D人体姿态估计

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了TSR-Ego，一个使用立体摄像头进行以自我为中心的3D人体姿态估计的新型框架。该方法通过整合短期运动证据和投影引导特征采样，解决了鱼眼畸变和自我遮挡等挑战。TSR-Ego使用时间卷积增强立体特征图，并使用具有各种注意力机制的因果立体解码器来精炼关节表示，在UnrealEgo2和UnrealEgo-RW数据集上优于现有方法。 AI

影响 该框架提高了以自我为中心场景下3D人体姿态估计的准确性，可能有利于虚拟现实和机器人等应用。

排序理由 该集群包含一篇详细介绍特定计算机视觉任务新框架的研究论文。

在 arXiv cs.CV 阅读 →

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TSR-Ego框架改进了以自我为中心的3D人体姿态估计

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Md Mushfiqur Azam, John Quarles, Kevin Desai ·

    TSR-Ego：用于自我中心3D人体姿态估计的时域引导立体精炼框架

    arXiv:2607.09169v1 Announce Type: new Abstract: Egocentric 3D human pose estimation from head-mounted stereo cameras is challenging due to fisheye distortion, severe self-occlusion, and frequent truncation of body joints outside the camera field of view. Recent stereo egocentric …

  2. arXiv cs.CV TIER_1 English(EN) · Kevin Desai ·

    TSR-Ego：用于自我中心3D人体姿态估计的临时引导立体精炼框架

    Egocentric 3D human pose estimation from head-mounted stereo cameras is challenging due to fisheye distortion, severe self-occlusion, and frequent truncation of body joints outside the camera field of view. Recent stereo egocentric methods have improved performance through heatma…

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