Event cameras, neuromorphic devices that naturally respond to brightness changes, have multiple advantages with respect to traditional cameras. However, the difficulty of applying traditional computer vision algorithms on event data limits their usability. Therefore, in this paper we investigate the use of a deep learning-based architecture that combines an initial grayscale frame and a series of event data to estimate the following intensity frames. In particular, a fully-convolutional encoder-decoder network is employed and evaluated for the frame synthesis task on an automotive event-based dataset. Performance obtained with pixel-wise metrics confirms the quality of the images synthesized by the proposed architecture.

Video synthesis from Intensity and Event Frames / Pini, Stefano; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita. - (2019). ((Intervento presentato al convegno 20th International Conference on Image Analysis and Processing tenutosi a Trento, Italy nel 9-13 September 2019 [10.1007/978-3-030-30642-7_28].

Video synthesis from Intensity and Event Frames

Stefano Pini;Guido Borghi;Roberto Vezzani;Rita Cucchiara
2019-01-01

Abstract

Event cameras, neuromorphic devices that naturally respond to brightness changes, have multiple advantages with respect to traditional cameras. However, the difficulty of applying traditional computer vision algorithms on event data limits their usability. Therefore, in this paper we investigate the use of a deep learning-based architecture that combines an initial grayscale frame and a series of event data to estimate the following intensity frames. In particular, a fully-convolutional encoder-decoder network is employed and evaluated for the frame synthesis task on an automotive event-based dataset. Performance obtained with pixel-wise metrics confirms the quality of the images synthesized by the proposed architecture.
20th International Conference on Image Analysis and Processing
Trento, Italy
9-13 September 2019
Pini, Stefano; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita
Video synthesis from Intensity and Event Frames / Pini, Stefano; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita. - (2019). ((Intervento presentato al convegno 20th International Conference on Image Analysis and Processing tenutosi a Trento, Italy nel 9-13 September 2019 [10.1007/978-3-030-30642-7_28].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1178955
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