Ponencia
Event-driven stereo vision with orientation filters
Autor/es | Camuñas Mesa, Luis Alejandro
Serrano Gotarredona, María Teresa Linares Barranco, Bernabé Ieng, Sio-Hoi Benosman, Ryad B. |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2014 |
Fecha de depósito | 2020-10-21 |
Publicado en |
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ISBN/ISSN | 978-1-4799-3432-4 0271-4302 |
Resumen | The recently developed Dynamic Vision Sensors
(DVS) sense dynamic visual information asynchronously and
code it into trains of events with sub-micro second temporal
resolution. This high temporal precision makes the ... The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these sensors especially suited for dynamic 3D visual reconstruction, by matching corresponding events generated by two different sensors in a stereo setup. This paper explores the use of Gabor filters to extract information about the orientation of the object edges that produce the events, applying the matching algorithm to the events generated by the Gabor filters and not to those produced by the DVS. This strategy provides more reliably matched pairs of events, improving the final 3D reconstruction. |
Agencias financiadoras | European Union (UE) Ministerio de Economía y Competitividad (MINECO). España Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | PRI-PIMCHI-2011-0768
TEC2009-10639-C04-01 TEC2012-37868-C04-01 TIC-6091 |
Cita | Camuñas Mesa, L.A., Serrano Gotarredona, M.T., Linares Barranco, B., Ieng, S. y Benosman, R. (2014). Event-driven stereo vision with orientation filters. En ISCAS 2014: IEEE International Symposium on Circuits and Systems (257-260), Melbourne, Australia: IEEE Computer Society. |
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