title: On the use of orientation filters for 3D reconstruction in event-driven stereo vision.
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.
authors.affiliation: Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC y Universidad de Sevilla Sevilla, Spain.
authors.forename: Luis A
authors.initials: LA
authors.lastname: Camuñas-Mesa
authors.affiliation: Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC y Universidad de Sevilla Sevilla, Spain.
authors.forename: Teresa
authors.initials: T
authors.lastname: Serrano-Gotarredona
authors.affiliation: UMR_S968 Inserm/UPMC/CNRS 7210, Institut de la Vision, Université de Pierre et Marie Curie Paris, France.
authors.forename: Sio H
authors.initials: SH
authors.lastname: Ieng
authors.affiliation: UMR_S968 Inserm/UPMC/CNRS 7210, Institut de la Vision, Université de Pierre et Marie Curie Paris, France.
authors.forename: Ryad B
authors.initials: RB
authors.lastname: Benosman
authors.affiliation: Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC y Universidad de Sevilla Sevilla, Spain.
authors.forename: Bernabe
authors.initials: B
authors.lastname: Linares-Barranco
keywords: Address Event Representation (AER); convolutions; event-driven processing; gabor filters; neuromorphic vision; stereovision
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