Papers › Estimating Egocentric 3D Human Pose in Global Space

Estimating Egocentric 3D Human Pose in Global Space

27 Apr 2021ICCV 2021 10arXiv:2104.13454archive 2025-07-28

Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt

Egocentric 3D human pose estimation using a single fisheye camera has become popular recently as it allows capturing a wide range of daily activities in unconstrained environments, which is difficult for traditional outside-in motion capture with external cameras. However, existing methods have several limitations. A prominent problem is that the estimated poses lie in the local coordinate system of the fisheye camera, rather than in the world coordinate system, which is restrictive for many applications. Furthermore, these methods suffer from limited accuracy and temporal instability due to ambiguities caused by the monocular setup and the severe occlusion in a strongly distorted egocentric perspective. To tackle these limitations, we present a new method for egocentric global 3D body pose estimation using a single head-mounted fisheye camera. To achieve accurate and temporally stable global poses, a spatio-temporal optimization is performed over a sequence of frames by minimizing heatmap reprojection errors and enforcing local and global body motion priors learned from a mocap dataset. Experimental results show that our approach outperforms state-of-the-art methods both quantitatively and qualitatively.

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BaseVAE jianwang-mpi/GlobalEgoMocap/optimizer.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 9e1db23c976663ec · report
ConvVAE jianwang-mpi/GlobalEgoMocap/optimizer.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 98193a8e19eb81be · report
FishEyeCameraCalibrated jianwang-mpi/GlobalEgoMocap/optimizer.py official repository ran no licence file found · pointer only · 826fbe8cb4a6acbe · report
get_relative_global_pose_with_camera_matrix_torch jianwang-mpi/GlobalEgoMocap/optimizer.py official repository ran · our draft was wrong no licence file found · pointer only · 0d35362edec50e95 · report
transform_pose_torch jianwang-mpi/GlobalEgoMocap/optimizer.py official repository ran · our draft was wrong no licence file found · pointer only · 5df0756fe53e2b64 · report
BodyPoseOptimizer jianwang-mpi/GlobalEgoMocap/optimizer.py official repository unverified no licence file found · pointer only · bf44768ad15a1d51 · report

Tasks

3D Human Pose EstimationEgocentric Pose EstimationPose Estimation

Datasets

Introduced by this paper, per the archive.

GlobalEgoMocap Test Dataset

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Egocentric Pose Estimation GlobalEgoMocap Test Dataset GlobalEgoMocap Average MPJPE (mm) 82.06 #5 of 7 Archive leaderboard report
Egocentric Pose Estimation GlobalEgoMocap Test Dataset GlobalEgoMocap PA-MPJPE 62.07 #5 of 7 Archive leaderboard report
Egocentric Pose Estimation SceneEgo GlobalEgoMocap Average MPJPE (mm) 183.0 #5 of 8 Archive leaderboard report
Egocentric Pose Estimation SceneEgo GlobalEgoMocap PA-MPJPE 106.2 #5 of 8 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Heatmap

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