Visual Fatigue Measurement Model Based on Multi-Area Variance in a Stereoscopy

被引：0

作者：

Cho, Hyeong-jun ^{[1
]}

Hussain, Ghulam ^{[1
]}

Park, Jin-hoon ^{[1
]}

Kim, Jong-hak ^{[2
]}

Cho, Jun-dong ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Seoul, South Korea

[2] Sungkyunkwan Univ, Dept IT Convergence, Seoul, South Korea

来源：

2016 18TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT) - INFORMATION AND COMMUNICATIONS FOR SAFE AND SECURE LIFE | 2016年

关键词：

visual fatigue; depth map; stereoscopic; multi-area variance; MOS;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we propose a visual fatigue measurement model which based on multi-area variance. Existing visual fatigue measurement model focused at negative area which largely occurred visual fatigue. To make up previous research, our method uses characteristic of depth-map image that can consider negative area and positive area. Then, we calculate variance ratio and average ratio that located at maximum variance area and minimum variance area in a depth-map image. We obtained correlation index of 87.3% from experimental results which is between Variance based on Visual Fatigue (VVF) model and Mean Opinion Score (MOS).

引用

页码：814 / 817

页数：4

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