Publications by authors named "M Angels Garcia Cazorla"
Simultaneous Localization and Mapping (SLAM) systems face high computational demands, hindering their real-time implementation on low-end computers. An approach to addressing this challenge involves offline processing, i.e.
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- Accurate 3D information estimation from images is crucial for computer vision, and while binocular stereo vision is a common approach, it faces challenges with baseline distance affecting reliability.
- This research proposes a new method that progressively increases the baseline in multiocular vision, introducing a rectification technique that significantly reduces distortion errors in the images.
- The method enhances disparity estimation accuracy by 20% for multiocular images and demonstrates superior performance through extensive evaluations against existing methods.
Introduction: Angelman syndrome is a genetic disorder characterised by severe mental retardation, subtle dysmorphic facial features, a characteristic behavioural phenotype, seizures and abnormalities in video electroencephalograms (video EEG). Angelman syndrome may be associated with genetic mechanisms involving the region of chromosome 15q11-13. Up to 90% of cases have epileptic seizures, usually in the early years of life.
View Article and Find Full Text PDFhaploinsufficiency results in a developmental and epileptic encephalopathy (DEE) causing generalized epilepsies accompanied by a spectrum of neurodevelopmental symptoms. Concerning interictal epileptiform discharges (IEDs) in electroencephalograms (EEG), potential biomarkers have been postulated, including changes in background activity, fixation-off sensitivity (FOS) or eye closure sensitivity (ECS). In this study we clinically evaluate a new cohort of 36 SYNGAP1-DEE individuals.
View Article and Find Full Text PDFThe aerosol and precipitable water vapor (PW) distribution over the tropical Andes region is characterized using Aerosol Robotic Network (AERONET) observations at stations in Medellin (Colombia), Quito (Ecuador), Huancayo (Peru), and La Paz (Bolivia). AERONET aerosol optical depth (AOD) is interpreted using PM data when available. Columnar water vapor derived from ozone soundings at Quito is used to compare against AERONET PW.
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