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On the use of orientation filters for 3D reconstruction in event-driven stereo vision

 

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Opened Access On the use of orientation filters for 3D reconstruction in event-driven stereo vision
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Author: Camuñas Mesa, Luis Alejandro
Serrano Gotarredona, María Teresa
Leng, Sío H.
Benosman, Ryad B.
Linares Barranco, Bernabé
Department: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Date: 2014
Published in: Frontiers in Neuroscience, 8 (48), 1-17.
Document type: Article
Abstract: The recently developed Dynamic Vision Sensors (DVS) sense 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, therefore increasing the number of constraints applied to the matching algorithm. This strategy provides more reliably matched pairs of events, improving the final 3D reconstruction.
Cite: Camuñas Mesa, L.A., Serrano Gotarredona, M.T., Leng, S.H., Benosman, R.B. y Linares Barranco, B. (2014). On the use of orientation filters for 3D reconstruction in event-driven stereo vision. Frontiers in Neuroscience, 8 (48), 1-17.
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URI: https://hdl.handle.net/11441/69323

DOI: 10.3389/fnins.2014.00048

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