Cargando…
High Level 3D Structure Extraction from a Single Image Using a CNN-Based Approach
High-Level Structure (HLS) extraction in a set of images consists of recognizing 3D elements with useful information to the user or application. There are several approaches to HLS extraction. However, most of these approaches are based on processing two or more images captured from different camera...
Autores principales: | Osuna-Coutiño, J. A. de Jesús, Martinez-Carranza, Jose |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386827/ https://www.ncbi.nlm.nih.gov/pubmed/30700031 http://dx.doi.org/10.3390/s19030563 |
Ejemplares similares
-
DeepPilot: A CNN for Autonomous Drone Racing
por: Rojas-Perez, Leticia Oyuki, et al.
Publicado: (2020) -
Onboard CNN-Based Processing for Target Detection and Autonomous Landing for MAVs
por: Cabrera-Ponce, A. A., et al.
Publicado: (2020) -
Hybrid Deep Feature Fusion of 2D CNN and 3D CNN for Vestibule Segmentation from CT Images
por: Zhang, Ruicong, et al.
Publicado: (2022) -
Comparison of CNN Algorithms for Feature Extraction on Fundus Images to Detect Glaucoma
por: Sunanthini, V., et al.
Publicado: (2022) -
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images
por: Naeem, Hamad, et al.
Publicado: (2021)