Efficient stereo rendering of large 3D datasets based on binocular suppression

As the demand for stereo 3D content increases in the various fields, many types of devices for displaying stereo contents have been developed such as TVs, laptops, and mobile devices. Thus, efficient rendering methods that can process massive stereo data on those devices are becoming more important...

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Bibliographic Details
Main Authors: Il-Kyu Shin, Hyeon-Joong Kim, Soo-Mi Choi, Seon-Min Rhee
Format: Conference Proceeding
Language:English
Subjects:
3D scan data
binocular suppression
dominant eye
Face
Image color analysis
Image resolution
Rendering (computer graphics)
Sampling methods
Stereo rendering
Three-dimensional displays
visual perception
Visualization
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Summary:As the demand for stereo 3D content increases in the various fields, many types of devices for displaying stereo contents have been developed such as TVs, laptops, and mobile devices. Thus, efficient rendering methods that can process massive stereo data on those devices are becoming more important as well as reducing a feeling of visual discomfort of the viewer. In this paper, we analyze binocular suppression in an aspect of human visual perception, and present a point-based stereo rendering method to process high-resolution 3D data based on binocular suppression. To reduce visual discomfort which occurs in the process of the stereo rendering, we develop a simplification method by extending spectral sampling. Using the adaptive sampling, we can improve the rendering quality, especially in the visually sensitive areas as well as reducing the size of datasets.
ISSN:2375-933X
2375-9356
DOI:10.1109/35021BIGCOMP.2015.7072855