Cargando…
Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation
Pose estimation is crucial for automating assembly tasks, yet achieving sufficient accuracy for assembly automation remains challenging and part-specific. This paper presents a novel, streamlined approach to pose estimation that facilitates automation of assembly tasks. Our proposed method employs d...
Autores principales: | Shi, Debo, Rahimpour, Alireza, Ghafourian, Amin, Naddaf Shargh, Mohammad Mahdi, Upadhyay, Devesh, Lasky, Ty A., Soltani, Iman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346187/ https://www.ncbi.nlm.nih.gov/pubmed/37447956 http://dx.doi.org/10.3390/s23136107 |
Ejemplares similares
-
Multicow pose estimation based on keypoint extraction
por: Gong, Caili, et al.
Publicado: (2022) -
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
por: Weinreb, Caleb, et al.
Publicado: (2023) -
DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation
por: Zhao, Anran, et al.
Publicado: (2023) -
Constraints on Optimising Encoder-Only Transformers for Modelling Sign Language with Human Pose Estimation Keypoint Data
por: Woods, Luke T., et al.
Publicado: (2023) -
Head Pose Estimation through Keypoints Matching between Reconstructed 3D Face Model and 2D Image
por: Liu, Leyuan, et al.
Publicado: (2021)