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pro vyhledávání: '"Faraji, Mehdi"'
Autor:
Faraji, Mehdi, Saidi, Majid
Publikováno v:
In Process Safety and Environmental Protection March 2023 171:874-887
Autor:
Faraji, Mehdi, Basu, Anup
We present a new mathematical formulation to estimate the intrinsic parameters of a camera in active or robotic platforms. We show that the focal lengths can be estimated using only one point correspondence that relates images taken before and after
Externí odkaz:
http://arxiv.org/abs/1806.11468
Intravascular Ultrasound (IVUS) is an intra-operative imaging modality that facilitates observing and appraising the vessel wall structure of the human coronary arteries. Segmentation of arterial wall boundaries from the IVUS images is not only cruci
Externí odkaz:
http://arxiv.org/abs/1806.03695
Autor:
Li, Yuying, Faraji, Mehdi
This work concentrates on Extremal Regions of Extremum Level (EREL) selection. EREL is a recently proposed feature detector aiming at detecting regions from a set of extremal regions. This is a branching problem derived from segmentation of arterial
Externí odkaz:
http://arxiv.org/abs/1806.03580
Autor:
Faraji, Mehdi, Basu, Anup
We introduce new linear mathematical formulations to calculate the focal length of a camera in an active platform. Through mathematical derivations, we show that the focal lengths in each direction can be estimated using only one point correspondence
Externí odkaz:
http://arxiv.org/abs/1806.03584
IntraVascular UltraSound (IVUS) is one of the most effective imaging modalities that provides assistance to experts in order to diagnose and treat cardiovascular diseases. We address a central problem in IVUS image analysis with Fully Convolutional N
Externí odkaz:
http://arxiv.org/abs/1806.03583
Akademický článek
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Autor:
Gholipourmalekabadi, Mazaher, Farhadihosseinabadi, Behrouz, Faraji, Mehdi, Nourani, Mohammad Reza
Publikováno v:
In Burns September 2020 46(6):1254-1271