AIMC Topic: Vision, Monocular
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Monocular Charles Bonnet syndrome secondary to optic neuritis and the utilization of artificial intelligence to illustrate visual hallucinations.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Feb 10, 2024
Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision.
The Behavioral and brain sciences
Dec 6, 2023
Psychologically faithful deep neural networks (DNNs) could be constructed by training with psychophysics data. Moreover, conventional DNNs are mostly monocular vision based, whereas the human brain relies mainly on binocular vision. DNNs developed as...
Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos.
Scientific reports
Jun 11, 2021
A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system...
A geometric method for computing ocular kinematics and classifying gaze events using monocular remote eye tracking in a robotic environment.
Journal of neuroengineering and rehabilitation
Jan 26, 2016
BACKGROUND: Robotic and virtual-reality systems offer tremendous potential for improving assessment and rehabilitation of neurological disorders affecting the upper extremity. A key feature of these systems is that visual stimuli are often presented ...
Semantic discrete decoder based on adaptive pixel clustering for monocular depth estimation.
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Monocular depth estimation (MDE) has long been a popular and challenging task. Currently, mainstream methods mainly include regression methods based on geometric constraints and ordinal regression methods based on discretized depth intervals. However...
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