Publication: Event-based Vision: A Survey
Event-based Vision: A Survey
Date
Date
Date
Citations
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. P., Conradt, J., Daniilidis, K., & Scaramuzza, D. (2019). Event-based Vision: A Survey (ArXiv.Org). https://arxiv.org/abs/1904.08405
Abstract
Abstract
Abstract
Event cameras are bio-inspired sensors that work radically different from traditional cameras. Instead of capturing images at a fixed rate, they measure per-pixel brightness changes asynchronously. This results in a stream of events, which encode the time, location and sign of the brightness changes. Event cameras posses outstanding properties compared to traditional cameras: very high dynamic range (140 dB vs. 60 dB), high temporal resolution (in the order of microseconds), low power consumption, and do not suffer from motion blur. H
Additional indexing
Creators (Authors)
Series Name
Series Name
Series Name
Item Type
Item Type
Item Type
In collections
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Citations
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. P., Conradt, J., Daniilidis, K., & Scaramuzza, D. (2019). Event-based Vision: A Survey (ArXiv.Org). https://arxiv.org/abs/1904.08405