Results 21 to 30 of about 1,093,634 (281)
Accurate Calibration of Multi-LiDAR-Multi-Camera Systems
Sensors, 2018 As autonomous driving attracts more and more attention these days, the algorithms and sensors used for machine perception become popular in research, as well. This paper investigates the extrinsic calibration of two frequently-applied sensors: the camera
Zoltán Pusztai +2 more
doaj +1 more source
The use of machine vision for assessment of fodder quality [PDF]
, 2007 At present fodder is assessed subjectively. The evaluation depends greatly on a personal opinion and there can be large variations in assessments. The project has investigated the use of machine vision in several ways, to provide measures of fodder ...
Billingsley, John, Dunn, Mark T.
core +2 more sources
Sparse representation based intraframe and semi‐intraframe video coding schemes for low bitrates
IET Image Processing, 2021 This paper proposes some extensions of the successful sparse coding of still images to intraframe and semi‐intraframe video coding. The presented frameworks apply the efficient K‐singular value decomposition and recursive least squares dictionary ...
Maziar Irannejad +1 more
doaj +1 more source
ACapMed: Automatic Captioning for Medical Imaging
Applied Sciences, 2022 Medical image captioning is a very challenging task that has been rarely addressed in the literature on natural image captioning. Some existing image captioning techniques exploit objects present in the image next to the visual features while generating ...
Djamila Romaissa Beddiar +3 more
doaj +1 more source
Cancer prediction using graph-based gene selection and explainable classifier
Finnish Journal of eHealth and eWelfare, 2022 Several Artificial Intelligence-based models have been developed for cancer prediction. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered prediction and the potential ...
Mehrdad Rostami, Mourad Oussalah
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Applied Sciences, 2020 In the industry of polymer film products such as polarizers, measuring the three-dimensional (3D) contour of the transparent microdefects, the most common defects, can crucially affect what further treatment should be taken.
Yuanlong Deng, Xizhou Pan, Xiaopin Zhong
doaj +1 more source
Face anti‐spoofing from the perspective of data sampling
Electronics Letters, 2023 Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
doaj +1 more source
Understanding How Image Quality Affects Deep Neural Networks
, 2016 Image quality is an important practical challenge that is often overlooked in the design of machine vision systems. Commonly, machine vision systems are trained and tested on high quality image datasets, yet in practical applications the input images can
Dodge, Samuel, Karam, Lina
core +1 more source
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning [PDF]
, 2018 Learning-based pattern classifiers, including deep networks, have shown impressive performance in several application domains, ranging from computer vision to cybersecurity.
Biggio, Battista, Roli, Fabio
core +2 more sources