Cargando…
Realworld 3D Object Recognition Using a 3D Extension of the HOG Descriptor and a Depth Camera
3D object recognition is an generic task in robotics and autonomous vehicles. In this paper, we propose a 3D object recognition approach using a 3D extension of the histogram-of-gradients object descriptor with data captured with a depth camera. The presented method makes use of synthetic objects fo...
Autores principales: | Vilar, Cristian, Krug, Silvia, O’Nils, Mattias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866280/ https://www.ncbi.nlm.nih.gov/pubmed/33572869 http://dx.doi.org/10.3390/s21030910 |
Ejemplares similares
-
Evaluation of 2D-/3D-Feet-Detection Methods for Semi-Autonomous Powered Wheelchair Navigation
por: Giménez, Cristian Vilar, et al.
Publicado: (2021) -
From the Sensor to the Cloud: Intelligence Partitioning for Smart Camera Applications
por: Shallari, Irida, et al.
Publicado: (2019) -
An Effective 3D Shape Descriptor for Object Recognition with RGB-D Sensors
por: Liu, Zhong, et al.
Publicado: (2017) -
New Compact 3-Dimensional Shape Descriptor for a Depth Camera in Indoor Environments
por: Choi, Hyukdoo, et al.
Publicado: (2017) -
A Novel Surface Descriptor for Automated 3-D Object Recognition and Localization
por: Chen, Liang-Chia, et al.
Publicado: (2019)