Mean Reconstruction Error (mm): 12.2
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3D Human Pose Estimation
3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.
논문
Mean Reconstruction Error (mm): 26.9
Mean Reconstruction Error (mm): 13.5
Mean Reconstruction Error (mm): 21.6
Mean Reconstruction Error (mm): 38.9
Mean Reconstruction Error (mm): 21.2
Mean Reconstruction Error (mm): 56.7
Mean Reconstruction Error (mm): 24.6
Mean Reconstruction Error (mm): 24.3
Mean Reconstruction Error (mm): 24.3
Mean Reconstruction Error (mm): 33.7
Mean Reconstruction Error (mm): 40.3
Mean Reconstruction Error (mm): 15.4
Mean Reconstruction Error (mm): 22
Mean Reconstruction Error (mm): 9.2
Mean Reconstruction Error (mm): 15.2
Mean Reconstruction Error (mm): 19.5
Mean Reconstruction Error (mm): 22.9
Mean Reconstruction Error (mm): 22.9
Mean Reconstruction Error (mm): 16.1
Mean Reconstruction Error (mm): 23.9
Mean Reconstruction Error (mm): 64
Mean Reconstruction Error (mm): 14.3
Mean Reconstruction Error (mm): 18.3
Mean Reconstruction Error (mm): 30.8
Mean Reconstruction Error (mm): 19.1
Mean Reconstruction Error (mm): 71.3
Mean Reconstruction Error (mm): 39.1
Mean Reconstruction Error (mm): 74.5