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Real-time Hand Pose Recognition Using Low-Resolution Depth Images
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An appearance-based approach to gesture-recognition
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Visual tracking of high DOF articulated structures: An application to human hand tracking
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Visual interpretation of hand gestures for human-computer interaction: a review
inferredcites →https://doi.org/10.1109/afgr.1998.670960openalex-snapshot
Hand gesture estimation and model refinement using monocular camera-ambiguity limitation by inequality constraints
inferredcites →https://doi.org/10.1109/afgr.2002.1004129openalex-snapshot
An appearance-based framework for 3D hand shape classification and camera viewpoint estimation
inferredcites →https://doi.org/10.1109/afgr.2002.1004191openalex-snapshot
Real-time tracking of multiple fingertips and gesture recognition for augmented desk interface systems
inferredcites →https://doi.org/10.1109/cvpr.2000.854749openalex-snapshot
View-independent recognition of hand postures
inferredcites →https://doi.org/10.1109/cvpr.2001.990976openalex-snapshot
Model-based 3D tracking of an articulated hand
inferredcites →https://doi.org/10.1109/iccv.2001.937656openalex-snapshot
Capturing natural hand articulation
inferredcites →https://doi.org/10.1109/icpr.2004.1334529openalex-snapshot
3D hand reconstruction from a monocular view
inferredcites →https://doi.org/10.1109/ratfg.2001.938906openalex-snapshot
Real-time 3D hand posture estimation based on 2D appearance retrieval using monocular camera
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Real Time Hand Pose Estimation Using Depth Sensors
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Human body analysis using depth data
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