Sen-Cap estimates 3D human pose and global trajectory from flexible, uncalibrated combinations of LiDARs and cameras, setting state-of-the-art scores on Human-M3 and FreeMotion while tolerating point-cloud noise.
In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration
Sen-Cap estimates 3D human pose and global trajectory from flexible, uncalibrated combinations of LiDARs and cameras, setting state-of-the-art scores on Human-M3 and FreeMotion while tolerating point-cloud noise.