Cargando…
A New Edge Patch with Rotation Invariance for Object Detection and Pose Estimation
Local patch-based methods of object detection and pose estimation are promising. However, to the best of the authors’ knowledge, traditional red-green-blue and depth (RGB-D) patches contain scene interference (foreground occlusion and background clutter) and have little rotation invariance. To solve...
Autores principales: | Tong, Xunwei, Li, Ruifeng, Ge, Lianzheng, Zhao, Lijun, Wang, Ke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039296/ https://www.ncbi.nlm.nih.gov/pubmed/32046078 http://dx.doi.org/10.3390/s20030887 |
Ejemplares similares
-
Object Pose Estimation Using Edge Images Synthesized from Shape Information
por: Moteki, Atsunori, et al.
Publicado: (2022) -
Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
por: Huang, Shao-Kang, et al.
Publicado: (2020) -
3D Pose Estimation for Object Detection in Remote Sensing Images
por: Liu, Jin, et al.
Publicado: (2020) -
Deformation-specific and deformation-invariant visual object recognition: pose vs. identity recognition of people and deforming objects
por: Webb, Tristan J., et al.
Publicado: (2014) -
Finding the Optimal Pose of 2D LLT Sensors to Improve Object Pose Estimation
por: Heczko, Dominik, et al.
Publicado: (2022)