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January - March 2012

Volume 21, Issue 1 (partial)

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Subjective experiences of watching stereoscopic Avatar and U2 3D in a cinema

Monika Pölönen, Marja Salmimaa, Jari Takatalo, and Jukka Häkkinen

J. Electron. Imaging 21, 011006 (Feb 22, 2012); http://dx.doi.org/10.1117/1.JEI.21.1.011006

Online Publication Date: Feb 22, 2012

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A stereoscopic 3-D version of the film Avatar was shown to 85 people who subsequently answered questions related to sickness, visual strain, stereoscopic image quality, and sense of presence. Viewing Avatar for 165 min induced some symptoms of visual strain and sickness, but the symptom levels remained low. A comparison between Avatar and previously published results for the film U2 3D showed that sickness and visual strain levels were similar despite the films’ runtimes. The genre of the film had a significant effect on the viewers’ opinions and sense of presence. Avatar, which has been described as a combination of action, adventure, and sci-fi genres, was experienced as more immersive and engaging than the music documentary U2 3D. However, participants in both studies were immersed, focused, and absorbed in watching the stereoscopic 3-D (S3-D) film and were pleased with the film environments. The results also showed that previous stereoscopic 3-D experience significantly reduced the amount of reported eye strain and complaints about the weight of the viewing glasses.
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Suprathreshold stochastic resonance and maximizing network for watermark detection

Rajib Kumar Jha, Prabir Kumar Biswas, Bhupendra Gupta, and Deepak Mishra

J. Electron. Imaging 21, 013001 (Feb 22, 2012); http://dx.doi.org/10.1117/1.JEI.21.1.013001

Online Publication Date: Feb 22, 2012

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We propose a novel method that improves watermark detection performance, based on suprathreshold stochastic resonance (SSR) with a maximizing network. The detection performance is measured in terms of correlation. The proposed method has been tested on different gray-scale images, and we found that an original image is not required for watermark detection, so this method is blind. We improved the correlation between an original watermark and the SSR with maximizing network-based discrete wavelet transform coefficients of the watermarked image. Our experimental results have been compared with the different existing techniques and were found superior in terms of correlation and ratio of correlation to threshold.

Improved similarity measure-based graph embedding for face recognition

Yongxin Ge, Dan Yang, Xiaohong Zhang, and Jiwen Lu

J. Electron. Imaging 21, 013002 (Feb 22, 2012); http://dx.doi.org/10.1117/1.JEI.21.1.013002

Online Publication Date: Feb 22, 2012

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We propose an improved similarity measure (ISM) and apply it to the existing graph embedding (GE) framework to derive a new improved similarity measure-based graph embedding (ISM-GE) method for face recognition. Our work is motivated by the fact that both the Euclidean metric and the correlation metric are useful and effective for characterizing the similarity of face samples, and we combine these two metrics to form a new ISM to measure the similarity of face samples. We further utilize the proposed ISM in the existing GE framework and develop a new ISM-GE method for face feature extraction and recognition. Experimental results on two widely used face databases demonstrate the efficacy of the proposed method.
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