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Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences.

, , , , , , , , , , , , , , , , , and . ACM Trans. Graph., 35 (4): 143:1-143:12 (2016)

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DTW Based Clustering to Improve Hand Gesture Recognition., , and . HBU, volume 7065 of Lecture Notes in Computer Science, page 72-81. Springer, (2011)Rethinking the Data Annotation Process for Multiview 3D Pose Estimation with Active Learning and Self-Training., , , , and . WACV, page 5684-5693. IEEE, (2023)AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation., , , , , and . CVPR, page 12999-13008. IEEE, (2023)Conditional Information Gain Networks., , and . ICPR, page 1390-1395. IEEE Computer Society, (2018)Real Time Hand Pose Estimation Using Depth Sensors., , , and . Consumer Depth Cameras for Computer Vision, Springer, (2013)In-Hand 3D Object Scanning from an RGB Sequence., , , , , and . CVPR, page 17079-17088. IEEE, (2023)Sign Language Tutoring tool., , and . EUSIPCO, page 1-4. IEEE, (2005)Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests., , , and . ECCV (6), volume 7577 of Lecture Notes in Computer Science, page 852-863. Springer, (2012)Deep Implicit Volume Compression., , , , , , , , , and 4 other author(s). CVPR, page 1290-1300. Computer Vision Foundation / IEEE, (2020)Depth image based 3D hand pose estimation framework., , , and . SIU, page 1-2. IEEE, (2012)