HandVoxNet++ : 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks
3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. Existing methods addressing it directly regress hand meshes via 2D convolutional neural networks, which leads to artifacts due to perspective distortions in the images....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 02. Dez., Seite 8962-8974
|
|---|
| 1. Verfasser: |
Malik, Jameel
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Shimada, Soshi,
Elhayek, Ahmed,
Ali, Sk Aziz,
Theobalt, Christian,
Golyanik, Vladislav,
Stricker, Didier |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|