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pro vyhledávání: '"R. Wes Baldwin"'
Event cameras are an exciting, new sensor modality enabling high-speed imaging with extremely low-latency and wide dynamic range. Unfortunately, most machine learning architectures are not designed to directly handle sparse data, like that generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dcd9bdc08e4da5c92ff4869e3a21d4d
http://arxiv.org/abs/2103.06108
http://arxiv.org/abs/2103.06108
Publikováno v:
CVPR
This paper presents a novel method for labeling real-world neuromorphic camera sensor data by calculating the likelihood of generating an event at each pixel within a short time window, which we refer to as "event probability mask" or EPM. Its applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8477e63610d3ca754d052d13557cdf67
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030272715
ICIAR (2)
ICIAR (2)
This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS). IETSs overcome several limitations of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f58f796e970d0373a7d254beee7d2a5
https://doi.org/10.1007/978-3-030-27272-2_35
https://doi.org/10.1007/978-3-030-27272-2_35
Conference
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Publikováno v:
IEEE Signal Processing Magazine; Jul2020, Vol. 37 Issue 4, p34-49, 16p
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019. The 58 full papers presented together with