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Visual fatigue measurement model based on multi-area variance in a stereoscopy
- Authors
- Cho H.-J.[Cho H.-J.]; Hussain G.[Hussain G.]; Park J.-H.[Park J.-H.]; Kim J.-H.[Kim J.-H.]; Cho J.-D.[Cho J.-D.]
- Issue Date
- 2016
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- International Conference on Advanced Communication Technology, ICACT, v.2016-March, pp.814 - 817
- Indexed
- SCOPUS
- Volume
- 2016-March
- Start Page
- 814
- End Page
- 817
- ISSN
- 1738-9445
- Abstract
- 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 for 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). © 2016 Global IT Research Institute (GiRI).
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