3D hand pose and shape estimation from monocular RGB via efficient 2D cues

3D hand pose and shape estimation from monocular RGB via efficient 2D cues

Abstract Estimating 3D hand shape from a single-view RGB image is important for many applications. However, the diversity of hand shapes and postures, depth ambiguity, and occlusion may result in pose errors and noisy hand meshes. Making full use of 2D cues such as 2D pose can effectively improve th...

Повний опис

Бібліографічні деталі
Автори: Fenghao Zhang, Lin Zhao, Shengling Li, Wanjuan Su, Liman Liu, Wenbing Tao
Формат: Стаття
Мова:English
Опубліковано: SpringerOpen 2023-11-01
Серія:Computational Visual Media
Предмети:
hand
3D reconstruction
deep learning
image features
3D mesh
Онлайн доступ:https://doi.org/10.1007/s41095-023-0346-4

Інтернет

https://doi.org/10.1007/s41095-023-0346-4

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