Πλοήγηση ανά Θέμα "Pixels"
Αποτελέσματα 1-12 από 12
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Bimodal CT/MRI-based segmentation method for intervertebral disc boundary extraction
(2020)Intervertebral disc (IVD) localization and segmentation have triggered intensive research efforts in the medical image analysis community, since IVD abnormalities are strong indicators of various spinal cord-related ... -
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
(2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
(2022)Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, ... -
A Deep Learning Approach to Object Affordance Segmentation
(2020)Learning to understand and infer object functionalities is an important step towards robust visual intelligence. Significant research efforts have recently focused on segmenting the object parts that enable specific types ... -
Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing
(2017)Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their ... -
Fisheye camera modeling for human segmentation refinement in indoor videos
(2013)In this paper, we concentrate on refining the results of segmenting human presence from indoors videos acquired by a fisheye camera, using a 3D mathematical model of the camera. The model has been calibrated according to ... -
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images
(2016)A significant number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from segmented objects. One widely used class of such descriptors are the invariant moments, with ... -
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters
(2019)In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision ... -
Joint Object Affordance Reasoning and Segmentation in RGB-D Videos
(2021)Understanding human-object interaction is a fundamental challenge in computer vision and robotics. Crucial to it is the ability to infer 'object affordances' from visual data, namely the types of interaction supported by ... -
Local difference patterns for drunk person identification
(2018)In this work, facial thermal infrared images are employed for intoxicated person discrimination. Specifically, the region of the forehead of the face of the sober and the corresponding intoxicated person is used to test ... -
Mapping evapotranspiration coefficients in a temperate maritime climate using the metric model and landsat TM
(2017)The applicability of a land surface temperature (LST)-evapotranspiration (ET) regression model to estimate ET fraction (ETrF) was tested in the temperate maritime climate of Central Ireland. In this study, the Mapping ET ... -
Weakly-supervised lesion detection in video capsule endoscopy based on a bag-of-colour features model
(2017)Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology enabling more thorough examination and treatment of the gastrointestinal tract than conventional endoscopy technologies. Despite of the ...