Cargando…
Characterizing the perception of urban spaces from visual analytics of street-level imagery
This project uses machine learning and computer vision techniques and a novel interactive visualization tool to provide street-level characterization of urban spaces such as safety and maintenance in urban neighborhoods. This is achieved by collecting and annotating street-view images, extracting ob...
Autores principales: | Freitas, Frederico, Berreth, Todd, Chen, Yi-Chun, Jhala, Arnav |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734874/ https://www.ncbi.nlm.nih.gov/pubmed/36532705 http://dx.doi.org/10.1007/s00146-022-01592-y |
Ejemplares similares
-
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
por: Suel, Esra, et al.
Publicado: (2021) -
Mapping Tree Canopy in Urban Environments Using Point Clouds from Airborne Laser Scanning and Street Level Imagery
por: Rodríguez-Puerta, Francisco, et al.
Publicado: (2022) -
Characterization of kinesthetic motor imagery compared with visual motor imageries
por: Yang, Yu Jin, et al.
Publicado: (2021) -
The effect of smartwatch head shape on visual imagery perception
por: Feng, Yu-Liang, et al.
Publicado: (2023) -
Effect of Street Performance (Busking) on the Environmental Perception of Public Space
por: Ho, Robbie, et al.
Publicado: (2021)