3D hand pose estimation from a single RGB image by weighting the occlusion and classification

Khadijeh Mahdikhanlou; Hossein Ebrahimnezhad

doi:10.1016/j.patcog.2022.109217

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3D hand pose estimation from a single RGB image by weighting the occlusion and classification

Khadijeh Mahdikhanlou Hossein Ebrahimnezhad

Year: 2022 Journal: Pattern Recognition Vol: 136 Pages: 109217-109217 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2022.109217

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Keywords:

Pose Artificial intelligence Block (permutation group theory) Computer science Segmentation RGB color model Weighting Computer vision Image (mathematics) Benchmark (surveying) Pattern recognition (psychology) Mathematics

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Topics

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

3D hand pose estimation from a single RGB image by weighting the occlusion and classification

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Citation History

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