5 papers
Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture
Tianyi Liu, Christopher Twigg, Patrick Grady +3
Optical motion capture (mocap) systems are widely used for ground-truth capture in AR/VR, SLAM and robotics datasets. These datasets require extrinsic calibration to align mocap co…
SHOW3D: Capturing Scenes of 3D Hands and Objects in the Wild
Patrick Rim, Kevin Harris, Braden Copple +8
Accurate 3D understanding of human hands and objects during manipulation remains a significant challenge for egocentric computer vision. Existing hand-object interaction datasets a…
Ego-Exo 3D Hand Tracking in the Wild with a Mobile Multi-Camera Rig
Patrick Rim, Kun He, Kevin Harris +7
Accurate 3D tracking of hands and their interactions with the world in unconstrained settings remains a significant challenge for egocentric computer vision. With few exceptions, e…
HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
Prithviraj Banerjee, Sindi Shkodrani, Pierre Moulon +11
We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D. The dataset offers over 833 minutes (3.7M+ images) of recordings that feature 19 sub…
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
Sasha Salter, Richard Warren, Collin Schlager +11
Hands are the primary means through which humans interact with the world. Reliable and always-available hand pose inference could yield new and intuitive control schemes for human-…