Visual discomfort induced by inharmonious human 3D perceptions between the real world and a display is encountered most commonly in stereoscopic displays. Although various state-of-the-art 3D technologies have reduced the gaps, these delicate differences yield eye fatigue during adaptation of the human brain to artificial 3D information in displays. Therefore, the assessment of visual discomfort, either in producing or reproducing 3D content, is essential to improve viewers' quality of experience. In this paper, we used EEG to investigate the feasibility of visual discomfort assessment on stereo images. To find features of brain-waves representing 3D visual discomfort, we designed 3D stereo image experiments and collected EEG data for several subjects. We found that spectral attenuation of alpha and beta bands over the sensorimotor area and temporal features detected 2 to 4 seconds after onset could be strong indicators of visual discomfort.Index Terms-Visual discomfort, eye fatigue, EEG, stereoscopic, quality of experience.

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Three-dimensional (3D) shape reconstruction from one or multiple observations is a primary problem of computer vision. Shape from Focus (SFF) is a passive optical method that uses multiple twodimensional (2D) images with different focus levels. When obtaining 2D images in each step along the optical axis, mechanical vibrations, referred as jitter noise, occur. SFF techniques are vulnerable to jitter noise that can vary focus values in 2D images. In this paper, new filtering method, which provides high accuracy of 3D shape reconstruction and low computational cost, is proposed. First, jitter noise is modeled as Lévy distribution. This assumption makes it possible to show the influence of proposed filtering method in real environment with non-Gaussian jitter noise. Second, focus curves are modeled as Gaussian function to compare the performance of proposed filtering method with those of the conventional filtering methods. Finally, improved maximum correntropy criterion Kalman filter (IMCC-KF) is designed as a post-processing step, and is applied to the modeled focus curves. The experiments are performed on real and synthetic objects and the results demonstrate the effectiveness of proposed method. INDEX TERMS Focus curve, improved maximum correntropy criterion Kalman filter (IMCC-KF), jitter noise, non-Gaussian distribution, shape from focus (SFF).