Human stereopsis, fusion, and stereoscopic virtual environments
Virtual environments and advanced interface design
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Correcting Interperspective Aliasing in Autostereoscopic Displays
IEEE Transactions on Visualization and Computer Graphics
Antialiasing for automultiscopic 3D displays
ACM SIGGRAPH 2006 Sketches
Subsampling models and anti-alias filters for 3-D automultiscopic displays
IEEE Transactions on Image Processing
Spectral analysis for sampling image-based rendering data
IEEE Transactions on Circuits and Systems for Video Technology
Geometrical analysis of puppet-theater and cardboard effects in stereoscopic HDTV images
IEEE Transactions on Circuits and Systems for Video Technology
A Survey of 3DTV Displays: Techniques and Technologies
IEEE Transactions on Circuits and Systems for Video Technology
Stereo/multiview picture quality: Overview and recent advances
Image Communication
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Frequency analysis of visual data is a fundamental step in understanding the characteristics of the data and developing necessary tools for processing it. When it comes to analyzing stereoscopic 3-D images, however, conventional methods for 2-D images need to be modified because stereoscopic 3-D images are created by a cognitive process of the human brain. We present the frequency domain analysis of a stereoscopic 3-D image with a geometry model of human binocular vision, and based on the analysis, we propose a disparity-adaptive anti-aliasing filter. From our analysis, we concluded that there is an inherent cause of aliasing due to frequency scaling by disparity. The analysis result is consistent with the knowledge obtained from past experiences, which supports the reliability of the analysis, and the proposed filter can be used for reducing undesirable visual discomfort.