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2016 IEEE International Conference on Multimedia and Expo (ICME) (2016)
Seattle, WA, USA
July 11, 2016 to July 15, 2016
ISSN: 1945-788X
ISBN: 978-1-4673-7259-6
pp: 1-6
Yapeng Xue , Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking(IPCAN), College of Information Science and Eletronic Engineering, Zhejiang University, Hangzhou 310027, China
Wenhao Hong , Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking(IPCAN), College of Information Science and Eletronic Engineering, Zhejiang University, Hangzhou 310027, China
Yu Cao , Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking(IPCAN), College of Information Science and Eletronic Engineering, Zhejiang University, Hangzhou 310027, China
Lu Yu , Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking(IPCAN), College of Information Science and Eletronic Engineering, Zhejiang University, Hangzhou 310027, China
ABSTRACT
When different images are presented to two eyes, they compete for perceptual dominance, such that a region of one image is visible while corresponding region of the other is suppressed. This visual phenomenon is called binocular rivalry. Binocular rivalry may be introduced in stereoscopic images of natural scene, leading to strong visual discomfort and visual fatigue. When binocular differences exceed a threshold, binocular rivalry occurs. Binocular difference threshold of corresponding regions increases with background complexity of the region. Based on these features of human visual system, we proposed a detection model of binocular rivalry for natural image pairs. A binocular rivalry database was established and used to evaluate our detection model with the database. Experimental results demonstrate that the proposed model can achieve higher hit rate and lower false alarm rate compared with existing method.
INDEX TERMS
Stereo image processing, Databases, Visualization, Complexity theory, Visual systems, Image coding, Feature extraction
CITATION

Y. Xue, W. Hong, Y. Cao and L. Yu, "Binocular rivalry detection in natural image pairs," 2016 IEEE International Conference on Multimedia and Expo (ICME), Seattle, WA, USA, 2016, pp. 1-6.
doi:10.1109/ICME.2016.7552976
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