Cargando…
SDFPoseGraphNet: Spatial Deep Feature Pose Graph Network for 2D Hand Pose Estimation
In the field of computer vision, hand pose estimation (HPE) has attracted significant attention from researchers, especially in the fields of human–computer interaction (HCI) and virtual reality (VR). Despite advancements in 2D HPE, challenges persist due to hand dynamics and occlusions. Accurate ex...
Autores principales: | Salman, Sartaj Ahmed, Zakir, Ali, Takahashi, Hiroki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675653/ https://www.ncbi.nlm.nih.gov/pubmed/38005478 http://dx.doi.org/10.3390/s23229088 |
Ejemplares similares
-
Filtered pose graph for efficient kinect pose reconstruction
por: Plantard, Pierre, et al.
Publicado: (2016) -
Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
por: Zhang, Maomao, et al.
Publicado: (2021) -
Comparison of Graph Fitting and Sparse Deep Learning Model for Robot Pose Estimation
por: Rodziewicz-Bielewicz, Jan, et al.
Publicado: (2022) -
Drone Detection and Pose Estimation Using Relational Graph Networks
por: Jin, Ren, et al.
Publicado: (2019) -
Improved Graph Convolutional Neural Network for Dance Tracking and Pose Estimation
por: Zhang, Liangliang
Publicado: (2022)