TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors.

TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors.

Accurate and flexible 3D pose estimation for virtual entities is a strenuous task in computer vision applications. Conventional methods struggle to capture realistic movements; thus, creative solutions that can handle the complexities of genuine avatar interactions in dynamic virtual environments ar...

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Bibliographic Details
Main Authors: Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0310831&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0310831&type=printable

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