In ictu oculi: Exposing ai created fake videos by detecting eye blinking
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
[PDF][PDF] Eye blink detection using facial landmarks
Guidelines: 1. Propose an eye-blink detection algorithm that uses facial landmarks as an
input. 2. Evaluate the proposed detector quantitatively based on the ground-truth dataset …
input. 2. Evaluate the proposed detector quantitatively based on the ground-truth dataset …
In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
500,000 images closer to eyelid and pupil segmentation
Human gaze behavior is not the only important aspect about eye tracking. The eyelids
reveal additional important information; such as fatigue as well as the pupil size holds …
reveal additional important information; such as fatigue as well as the pupil size holds …
The applicability of cycle gans for pupil and eyelid segmentation, data generation and image refinement
Eye tracking is increasingly influencing scientific areas such as psychology, cognitive
science, and human-computer interaction. Many eye trackers output the gaze location and …
science, and human-computer interaction. Many eye trackers output the gaze location and …
Fast and robust eyelid outline and aperture detection in real-world scenarios
The correct identification of the eyelids and its aperture provide essential data to infer a
subject's mental state (eg, vigilance, fatigue, and drowsiness) and to validate or reduce the …
subject's mental state (eg, vigilance, fatigue, and drowsiness) and to validate or reduce the …
Camera-based eye blink detection algorithm for assessing driver drowsiness
MH Baccour, F Driewer, E Kasneci… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
This paper presents an adaptive camera-based eye blink detection algorithm for assessing
the level of drowsiness during driving. The data used in this study were collected from …
the level of drowsiness during driving. The data used in this study were collected from …
Eyes wide open? eyelid location and eye aperture estimation for pervasive eye tracking in real-world scenarios
Eyelid identification and aperture estimation provide key data that can be used to infer
valuable information about a subject's mental state (eg, vigilance, fatigue, and drowsiness) …
valuable information about a subject's mental state (eg, vigilance, fatigue, and drowsiness) …
FRCNN-GNB: Cascade faster R-CNN with Gabor filters and naïve bayes for enhanced eye detection
Research into biometric identification technologies has evolved in recent years, as most
secure facilities and applications are now based on digital technology. Among the available …
secure facilities and applications are now based on digital technology. Among the available …
Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence
Deep learning is notably successful in data analysis, computer vision, and human control.
Nevertheless, this approach has inevitably allowed the development of DeepFake video …
Nevertheless, this approach has inevitably allowed the development of DeepFake video …