Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input

Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input

Estimating the hand-object meshes and poses is a challenging computer vision problem with many practical applications. In this paper, we introduce a simple yet efficient hand-object reconstruction algorithm. To this end, we exploit the fact that both the poses and the meshes are graphs-based represe...

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Bibliografische gegevens
Hoofdauteurs: Murad Almadani, Ahmed Elhayek, Jameel Malik, Didier Stricker
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2021-01-01
Reeks:IEEE Access
Onderwerpen:
Hand pose estimation
hand shape estimation
hand-object interaction
graph convolution
machine learning
Online toegang:https://ieeexplore.ieee.org/document/9557272/

Internet

https://ieeexplore.ieee.org/document/9557272/

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