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pro vyhledávání: '"Almatrafi, Mohammed"'
Publikováno v:
In Case Studies in Thermal Engineering July 2024 59
Autor:
Almatrafi, Mohammed Bakheet1 (AUTHOR) mmutrafi@taibahu.edu.sa, Saleh, Wedad1 (AUTHOR), Lakhdari, Abdelghani2 (AUTHOR), Jarad, Fahd3,4 (AUTHOR), Meftah, Badreddine5 (AUTHOR)
Publikováno v:
Journal of Inequalities & Applications. 4/8/2024, Vol. 2024 Issue 1, p1-27. 27p.
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:
http://arxiv.org/abs/2103.06108
Autor:
Almatrafi, Mohammed Mutlaq
Optical flow (OF) which refers to the task of determining the apparent motion of objects in the scene has been a topic of core interest in commuter vision for the past three decades. Optical flow methods of conventional camera struggle in the presenc
Autor:
Al-Ahmadi, Ahmed F.1,2,3,4 afa.199199@gmail.com, Almatrafi, Mohammed A.1, Ali, Ahmed K.1,2, Alsaedi, Osama H.1,2, Al-Zalabani, Abdulmohsen H.5
Publikováno v:
Tobacco Induced Diseases. Feb2024, Vol. 22, p1-11. 11p.
We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras. Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that makes use of dynamic vision sensors (DVS) to report asynchronously the log-intensity
Externí odkaz:
http://arxiv.org/abs/2003.12680
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:
http://arxiv.org/abs/2003.08282
Publikováno v:
Image Analysis and Recognition. ICIAR 2019. Lecture Notes in Computer Science, vol 11663. Springer, Cham
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:
http://arxiv.org/abs/2002.11656
Autor:
Almatrafi, Mohammed A.1, Alshehri, Malak2, Sindi, Lama2, Sendi, Esraa2, Alzahrani, Ghaida2, Alwan, Joud2, Gunes, Unal3, Assaggaf, Hamza4 hmsaggaf@uqu.edu.sa, Mosalli, Rafat1, Ekram, Rakan5, Dahlan, Hala S.6, Salawati, Emad7
Publikováno v:
International Journal of Pharmaceutical Research & Allied Sciences. 2023, Vol. 12 Issue 4, p5-18. 14p.
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