The Extraction of Depth Discontinuities Using Disparity Map for Human Visual Fatigue

So, Gil Ja; Kim, Sang Hyun; Kim, Jun Yeop

doi:10.7763/ijcte.2014.v6.884

Cited by 3 publications

(2 citation statements)

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“…The difference of the intensity of the disparity map means the depth of the difference, so, the value of threshold could be measured with mean and standard deviation of the depth [15]. Post process: The final process is a thinning after edge detected.…”

Section: Extraction Of the Depth Discontinuitiesmentioning

confidence: 99%

Evaluation Model of the Visual Fatigue on the 3D Stereoscopic Video

So¹,

Kim²,

Kim³

2016

IJCTE

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Abstract-We propose content dependent factors to be an argument of evaluation model of visual fatigue. The content factors we choose are the strength and size of the excessive disparity range, the complexity of the background objects, the variation of the motion-depth, the contrast of the objects in the scene. We verify that these factors have a relationship with visual fatigue through the experiment and suggest methods to extract the degree of these factors automatically.Index Terms-Content based fatigue factors, evaluation model of fatigue, stereoscopy, depth discontinuity, excessive disparity, fatigue of color.

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Section: Extraction Of the Depth Discontinuitiesmentioning

confidence: 99%

Evaluation Model of the Visual Fatigue on the 3D Stereoscopic Video

So¹,

Kim²,

Kim³

2016

IJCTE

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“…According to the American Optometric Association, using electronic devices for more than two hours greatly increases the risk of computer vision syndrome [5]. The effects on accommodation, convergence, and pupil size are primarily caused by the near IOP Publishing doi:10.1088/1742-6596/2722/1/012013 2 working condition rather than the screen itself [6] [7]. In response to these mechanisms, studies on blue light filtering to reduce eyestrain have been a hot topic in the field [8].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Connection between Eye Movement Parameters and Eye Fatigue

Sun,

Wang,

et al. 2024

J. Phys.: Conf. Ser.

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Eye fatigue, a prominent symptom of computer vision syndrome (CVS), has gained significant attention in various domains due to the increasing diversification of electronic display devices and their widespread usage scenarios. The COVID-19 pandemic has further intensified the reliance on these devices, leading to prolonged screen time. This study aimed to investigate the effectiveness of utilizing eye movement patterns in discriminating fatigue during the usage of electronic display devices. Eye movement data was collected from subjects experiencing different levels of fatigue, and their fatigue levels were recorded using the T/CVIA-73-2019 scale. The analysis revealed that features related to the pupils demonstrated a high level of confidence and reliability in distinguishing fatigue, especially related to pupil size. However, features associated with fixations, such as fixation duration and frequency, did not significantly contribute to fatigue discrimination. Furthermore, the study explored the influence of subjective awareness on fatigue discrimination. By modifying the experimental settings and considering the subjects’ subjective perception, it was observed that individual consciousness and self-awareness played a crucial role in fatigue discrimination. The implications of these findings extend beyond the field of computer vision syndrome, offering potential applications in developing interventions and strategies to alleviate eye fatigue and promote eye health among individuals who extensively use electronic display devices.

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Stereo images for depth measurement

Sheikh

Joshi²

2016

2016 IEEE International Conference on Recent Trends in Electronics, Information &Amp; Communication Technology (RTEICT)

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The Extraction of Depth Discontinuities Using Disparity Map for Human Visual Fatigue

Cited by 3 publications

References 20 publications

Evaluation Model of the Visual Fatigue on the 3D Stereoscopic Video

Evaluation Model of the Visual Fatigue on the 3D Stereoscopic Video

Exploring the Connection between Eye Movement Parameters and Eye Fatigue

Stereo images for depth measurement

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