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...
- 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
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Depth estimation for visually impaired people using mobile devices |
| title |
Depth estimation for visually impaired people using mobile devices |
| spellingShingle |
Depth estimation for visually impaired people using mobile devices 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 |
| title_short |
Depth estimation for visually impaired people using mobile devices |
| title_full |
Depth estimation for visually impaired people using mobile devices |
| title_fullStr |
Depth estimation for visually impaired people using mobile devices |
| title_full_unstemmed |
Depth estimation for visually impaired people using mobile devices |
| title_sort |
Depth estimation for visually impaired people using mobile devices |
| dc.creator.fl_str_mv |
Navarro, Felipe Cancino, Sandra Estupiñán, Enrique |
| dc.contributor.author.none.fl_str_mv |
Navarro, Felipe Cancino, Sandra Estupiñán, Enrique |
| dc.contributor.researchgroup.spa.fl_str_mv |
Ecitronica |
| dc.subject.armarc.spa.fl_str_mv |
Computación móvil Computación sensible al contexto Accesibilidad de sitios web para personas con discapacidades |
| topic |
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 |
| dc.subject.armarc.eng.fl_str_mv |
Mobile computing Context-aware computing Accessible Web sites for people with disabilities |
| description |
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. |
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2014 |
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2014 |
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2021-10-20T17:15:40Z |
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2021-10-20T17:15:40Z |
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Capítulo - Parte de Libro |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_3248 |
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9781479925070 |
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https://repositorio.escuelaing.edu.co/handle/001/1750 |
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10.1109/LASCAS.2014.6820289 |
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9781479925070 10.1109/LASCAS.2014.6820289 |
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https://repositorio.escuelaing.edu.co/handle/001/1750 |
| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
| dc.relation.citationedition.spa.fl_str_mv |
Depth estimation for visually impaired people using mobile devices, 2014 IEEE 5th Latin American Symposium on Circuits and Systems, 2014, pp. 1-4 |
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4 |
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1 |
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N/A |
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2014 IEEE 5th Latin American Symposium on Circuits and Systems |
| dc.relation.references.spa.fl_str_mv |
Birchfield, S. &Tomasi,C., "C. A pixel dissimilarity measure that is insensitive to image sampling", IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998 Borenstein, J. &Ulrich,I., "The GuideCane A Computerized Travel Aid for the Active Guidance of Blind Pedestrians", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1997, pp. 1283-1288 Bradksi, G. &Kaehler, A., "Learning OpenCV", O'Reilly, 2008, pp. 415-453 Bradksi, G., "The OpenCV Library", Dr. Dobb's Journal of Software Tools, 2000 Diepstraten, J., "Design and Development of an Indoor Navigation and Object Identification System for the Blind. Hub A.", Ertl T. ASSETS'04, 2004, ACM 1-58113-911 Donghyun, K.; Dongbo, M. &Kwanghoon, S., "3D Scene Reconstruction System with Hand-Held Stereo Cameras", 3DTV Conference, 2007, ISBN 978-1-4244-0722-4 Dul, H.; Henry, P.; Ren, X.; Cheng, M.; Goldman, D.; Seitz, S. &Fox, D., "Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera", UbiComp11, 2011, ACM 978-1-4503-0630 Hirschmueller, H., "Stereo Processing by Semiglobal Matching and Mutual Information", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 Konolige, K., "Small Vision Systems: Hardware and Implementation", 8th International Symposium on Robotics Research (ISRR), Oct. 1997. Konolige, K., "Technical Notes on Stereo Geometry", SRI International, Recovered http://pub1.willowgarage.com/~konolige/svs/disparity. htm Loomis, J. M.; Klatzky, R. L; Golledge, R. G. &Philbeck, J. W., "Wayfinding: Cognitive mapping and other spatial processes", In R. G. Golledge (Ed.) "Human navigation by path integration", Johns Hopkins University Press, 1999, pp. 125-151 Shapiro, L. &Stockman, G., "Computer Vision", Ed. Prentice Hall, 2001, pp. 431 Sharstein,D. &Szeliski,R., "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms", International Journal on Computer Vision (IJCV), 2002 World Health Organization WHO Media Center, FACT SHEET No 282, June 2012, Recovered http://www.who.int/mediacentre/factsheets/fs282/en |
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closedAccess |
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4 páginas |
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application/pdf |
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IEEE Xplore |
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Nueva Jersey, Estados Unidos. |
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https://ieeexplore.ieee.org/abstract/document/6820289 |
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Navarro, Felipe35ba34fb3a3c40d682680bc1b9adc8d2600Cancino, Sandra9984e034fae54d172ec834eb40814919600Estupiñán, Enrique9c654587c62064eaab7a85865ac7d759600Ecitronica2021-10-20T17:15:40Z2021-10-20T17:15:40Z20149781479925070https://repositorio.escuelaing.edu.co/handle/001/175010.1109/LASCAS.2014.6820289This 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.Este trabajo presenta el desarrollo de una aplicación para estimar la profundidad utilizando dispositivos móviles que podría ayudar a las personas con discapacidad visual a navegar en sitios cotidianos. El dispositivo móvil incorpora un sistema de cámaras estéreo y la aplicación aprovecha las capacidades del sistema operativo, como el cálculo paralelo, la configuración del hardware, junto con las librerías de procesamiento de imágenes para implementar algoritmos bien conocidos y de rápido rendimiento para la estimación de la profundidad. Cada cámara se calibra por separado y después se realiza una calibración estereoscópica. La estimación de la profundidad se calcula utilizando dos algoritmos diferentes y se presenta una evaluación de su rendimiento. Los dispositivos móviles manejan la carga computacional lo suficientemente rápido como para poder producir los resultados dentro del tiempo de paseo a ritmo normal. El error de estimación de la profundidad es lo suficientemente bajo como para permitir la detección de objetos como obstáculos, paredes de la habitación o personas en movimiento.4 páginasapplication/pdfengIEEE XploreNueva Jersey, Estados Unidos.https://ieeexplore.ieee.org/abstract/document/6820289Depth estimation for visually impaired people using mobile devicesCapítulo - Parte de Libroinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/bookParthttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85Depth estimation for visually impaired people using mobile devices, 2014 IEEE 5th Latin American Symposium on Circuits and Systems, 2014, pp. 1-441N/A2014 IEEE 5th Latin American Symposium on Circuits and SystemsBirchfield, S. &Tomasi,C., "C. A pixel dissimilarity measure that is insensitive to image sampling", IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998Borenstein, J. &Ulrich,I., "The GuideCane A Computerized Travel Aid for the Active Guidance of Blind Pedestrians", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1997, pp. 1283-1288Bradksi, G. &Kaehler, A., "Learning OpenCV", O'Reilly, 2008, pp. 415-453Bradksi, G., "The OpenCV Library", Dr. Dobb's Journal of Software Tools, 2000Diepstraten, J., "Design and Development of an Indoor Navigation and Object Identification System for the Blind. Hub A.", Ertl T. ASSETS'04, 2004, ACM 1-58113-911Donghyun, K.; Dongbo, M. &Kwanghoon, S., "3D Scene Reconstruction System with Hand-Held Stereo Cameras", 3DTV Conference, 2007, ISBN 978-1-4244-0722-4Dul, H.; Henry, P.; Ren, X.; Cheng, M.; Goldman, D.; Seitz, S. &Fox, D., "Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera", UbiComp11, 2011, ACM 978-1-4503-0630Hirschmueller, H., "Stereo Processing by Semiglobal Matching and Mutual Information", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008Konolige, K., "Small Vision Systems: Hardware and Implementation", 8th International Symposium on Robotics Research (ISRR), Oct. 1997.Konolige, K., "Technical Notes on Stereo Geometry", SRI International, Recovered http://pub1.willowgarage.com/~konolige/svs/disparity. htmLoomis, J. M.; Klatzky, R. L; Golledge, R. G. &Philbeck, J. W., "Wayfinding: Cognitive mapping and other spatial processes", In R. G. Golledge (Ed.) "Human navigation by path integration", Johns Hopkins University Press, 1999, pp. 125-151Shapiro, L. &Stockman, G., "Computer Vision", Ed. Prentice Hall, 2001, pp. 431Sharstein,D. &Szeliski,R., "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms", International Journal on Computer Vision (IJCV), 2002World Health Organization WHO Media Center, FACT SHEET No 282, June 2012, Recovered http://www.who.int/mediacentre/factsheets/fs282/eninfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbComputación móvilComputación sensible al contextoAccesibilidad de sitios web para personas con discapacidadesMobile computingContext-aware computingAccessible Web sites for people with disabilitiesTHUMBNAILDepth_estimation_for_visually_impaired_people_using_mobile_devices.pdf.jpgDepth_estimation_for_visually_impaired_people_using_mobile_devices.pdf.jpgGenerated Thumbnailimage/jpeg16249https://repositorio.escuelaing.edu.co/bitstream/001/1750/11/Depth_estimation_for_visually_impaired_people_using_mobile_devices.pdf.jpg5ba43a5e9ba311b503bfb745308a908aMD511metadata only accessMETADATADepth estimation for visually impaired people using mobile devices.pngDepth estimation for visually impaired people using mobile devices.pngimage/png180928https://repositorio.escuelaing.edu.co/bitstream/001/1750/9/Depth%20estimation%20for%20visually%20impaired%20people%20using%20mobile%20devices.png6d193f1c3bb3f711450c5a467e37f35aMD59open accessLICENSElicense.txtlicense.txttext/plain; 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