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3D Hand Shape and Pose Estimation

Kaviani, Samira

Description

We study the problem of 3D hand shape and pose estimation from monocular RGB images. Recent studies have shown that single-view 3D hand pose estimation is challenging due to depth ambiguity, environmental conditions, object-occlusion, and self-occlusion. Further, acquiring 3D annotations for datasets requires significant efforts. In this research, towards solving these challenges, we propose some contributions. First, we address the problem of estimating the 3D hand shape and pose in a video...[Show more]

CollectionsOpen Access Theses
Date published: 2022
Type: Thesis (MPhil)
URI: http://hdl.handle.net/1885/280434
DOI: 10.25911/H0VQ-EY87

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