Zobrazeno 1 - 4
of 4
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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