2016
DOI: 10.1186/s13640-016-0127-4
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3D visual discomfort prediction using low complexity disparity algorithms

Abstract: Algorithms that predict the degree of visual discomfort experienced when viewing stereoscopic 3D (S3D) images usually first execute some form of disparity calculation. Following that, features are extracted on these disparity maps to build discomfort prediction models. These features may include, for example, the maximum disparity, disparity range, disparity energy, and other measures of the disparity distribution. Hence, the accuracy of prediction largely depends on the accuracy of disparity calculation. Unfo… Show more

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Cited by 5 publications
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