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Get hand interactions in 3D in real-time from monocular video

Get hand interactions in 3D in real-time from monocular video


RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video





Tracking and reconstructing the 3D pose and geometry of two hands in interaction is a challenging problem that has a high relevance for several human-computer interaction applications, including AR/VR, robotics, or sign language recognition.


... present the first real-time method for motion capture of skeletal pose and 3D surface geometry of hands from a single RGB camera that explicitly considers close interactions.


... propose a novel multi-task CNN that regresses multiple complementary pieces of information, including segmentation, dense matchings to a 3D hand model, and 2D keypoint positions, together with newly proposed intra-hand relative depth and inter-hand distance maps.


... approach offers previously unseen two-hand tracking performance from RGB, and quantitatively and qualitatively outperforms existing RGB-based methods that were not explicitly designed for two-hand interactions.


Moreover, our method even performs on-par with depth-based real-time methods.


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