Depth estimation for visually impaired people using mobile devices

This paper presents the development of an application to estimate depth using mobile devices that could help visually impaired people to navigate in everyday sites. The mobile device incorporates a stereo camera system and the application takes advantage of the operating system capabilities, such as...

Full description

Autores:
Navarro, Felipe
Cancino, Sandra
Estupiñán, Enrique
Tipo de recurso:
Part of book
Fecha de publicación:
2014
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1750
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1750
Palabra clave:
Computación móvil
Computación sensible al contexto
Accesibilidad de sitios web para personas con discapacidades
Mobile computing
Context-aware computing
Accessible Web sites for people with disabilities
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:This paper presents the development of an application to estimate depth using mobile devices that could help visually impaired people to navigate in everyday sites. The mobile device incorporates a stereo camera system and the application takes advantage of the operating system capabilities, such as parallel computation, hardware configuration, in conjunction with the image processing libraries to implement well known and fast performing algorithms for depth estimation. Each camera is calibrated separately and afterwards a stereo calibration is performed. Depth estimation is calculated using two different algorithms and an evaluation of their performance is presented. The mobile devices handle the computational load fast enough to be able to produce the results within the walk time at normal pace. Depth estimation error is low enough to allow object detection like obstacles, room walls or moving persons.