Cargando…
Data-Driven Object Pose Estimation in a Practical Bin-Picking Application
This paper addresses the problem of pose estimation from 2D images for textureless industrial metallic parts for a semistructured bin-picking task. The appearance of metallic reflective parts is highly dependent on the camera viewing direction, as well as the distribution of light on the object, mak...
Autores principales: | Kozák, Viktor, Sushkov, Roman, Kulich, Miroslav, Přeučil, Libor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473210/ https://www.ncbi.nlm.nih.gov/pubmed/34577303 http://dx.doi.org/10.3390/s21186093 |
Ejemplares similares
-
An Integrated Approach to Goal Selection in Mobile Robot Exploration
por: Kulich, Miroslav, et al.
Publicado: (2019) -
Point Pair Feature-Based Pose Estimation with Multiple Edge Appearance Models (PPF-MEAM) for Robotic Bin Picking
por: Liu, Diyi, et al.
Publicado: (2018) -
A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF)
por: Cui, Xining, et al.
Publicado: (2022) -
Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
por: Huang, Shao-Kang, et al.
Publicado: (2020) -
Bin-picking: new approaches for a classical problem
por: Buchholz, Dirk
Publicado: (2016)