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Found 6 papers, 0 papers with code
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges
To spur further progress we introduce a challenging new dataset with diverse, cluttered scenes.
Understanding Everyday Hands in Action From RGB-D Images
We analyze functional manipulations of handheld objects, formalizing the problem as one of fine-grained grasp classification.
First-Person Pose Recognition Using Egocentric Workspaces
In egocentric views, hands and arms are observable within a well defined volume in front of the camera.
Egocentric Pose Recognition in Four Lines of Code
We tackle the problem of estimating the 3D pose of an individual's upper limbs (arms+hands) from a chest mounted depth-camera.
3D Hand Pose Detection in Egocentric RGB-D Images
We focus on the task of everyday hand pose estimation from egocentric viewpoints.
Self-Paced Learning for Long-Term Tracking
We address the problem of long-term object tracking, where the object may become occluded or leave-the-view.
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