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An attention enriched encoder–decoder architecture with CLSTM and RES unit for segmenting exudate in retinal images
Diabetic retinopathy, an eye complication that causes retinal damage, can impair the vision and even result in blindness, if not treated on time....
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Eye Tracking to Evaluate the User eXperience (UX): Literature Review
User eXperience (UX) shapes the way how users interact with products, systems, and services therefore it is necessary to be able to accurately... -
VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect
The relative afferent asymmetry between two eyes can be diagnosed using swinging flashlight test, also known as the alternating light test. This... -
Using eye-tracking for real-time translation: a new approach to improving reading experience
In this paper, we consider the problem of comprehension difficulties caused by encountering new words in reading. Most of the existing ways to...
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ARCosmetics: a real-time augmented reality cosmetics try-on system
A virtual cosmetics try-on system provides a realistic try-on experience for consumers and helps them efficiently choose suitable cosmetics. In this...
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Computer vision-based driver fatigue detection framework with personalization threshold and multi-feature fusion
A novel non-intrusive and computer vision-based framework for driver fatigue detection from video is proposed in this paper. To improve the judging...
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Detecting of eyeball movements for choosing menu in display monitor using height and sector percentage measurement approaches
The number of disable people increases each years. This growing phenomenon attracts attention, especially for many researcher in order to help people...
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A novel algorithmic approach of open eye analysis for drowsiness detection
Drowsiness is the crucial reason for road accidents nowadays, as per the available statistics. Several valuable lives may collapse because of this....
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Score-Level Fusion Based on Classification Tree for Improving Iris Verification Systems
Iris verification has long been considered the most reliable biometric verification technology. The iris verification system compares a feature... -
IRIS Segmentation Technique Using IRIS-UNet Method
Precise segmentation of the iris from the eye images is an essential task in iris diagnosis. Most of the predictions fail due to improper... -
Calculation of ophthalmic diagnostic parameters on a single eye image based on deep neural network
It is necessary to manually measure many parameters of eyes when an ophthalmologist diagnoses, which is time consuming, unsanitary, subjective and...
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An experimental study of relative total variation and probabilistic collaborative representation for iris recognition
Iris images collected under different conditions often suffer from specular reflections, cast shadows, motion blur, defocus blur, occlusion caused by...
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You Only Look Once (YOLO) with Convolution Neural Network (CNN) Classification for Preterm Baby’s Retinopathy Images
Retinopathy of Preterm (ROP) is becoming more common in babies as the number of preterm individuals grows dramatically around the world. ROP can be... -
Development of a visual to audio and tactile substitution system for mobility and orientation of visually impaired people: a review
According to the World Health Organization (WHO), visual impairment is one of the most common problems affecting approximately one sixth of the...
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Augmented Reality and Virtual Reality
Imagine a world in which the physical objects surrounding us could be constructed or destructed on a whim, tinkered and adjusted to fit the demands... -
Classification of Facial Images to Assist in the Diagnosis of Autism Spectrum Disorder: A Study on the Effect of Face Detection and Landmark Identification Algorithms
Since facial morphology can be linked to brain developmental problems, studies have been conducted to develop computational systems to assist in the... -
TrachomaNet: Detection and grading of trachoma using texture feature based deep convolutional neural network
Trachoma is the leading bacterial infectious cause of blindness worldwide. Examination for clinical signs of trachoma involves careful inspection of...
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Understanding Geolocation Data: Learning Scenarios for School Informatics
In this study, we present two learning scenarios for informatics education in a formal school setting, which aim to make pupils understand... -
Hybrid Deep Convolutional Network for Face Alignment and Head Pose Estimation
Face alignment has been an important focus of vision research because it is the most fundamental step in face analysis, reconstruction, and...