Paper
24 May 1999 Enhancement of viewer comfort in stereoscopic viewing: parallax adjustment
Author Affiliations +
Proceedings Volume 3639, Stereoscopic Displays and Virtual Reality Systems VI; (1999) https://doi.org/10.1117/12.349379
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
One of the major deficiencies of stereoscopic visualization, viewer discomfort, can be caused by the non-robustness of human perception or by excessive 3D cues in the viewed images. In order to minimize this discomfort, the amount of parallax within each stereo pair needs to be reduced. Similarly to the case of 'continuous look-around', parallax adjustment requires the knowledge of images from virtual cameras. In the case of parallel geometry, the virtual cameras are located on the line between the true cameras. Since in a general scenario no constraint should be posed on the complexity of the viewed scene, 3D modeling techniques cannot be used. We evaluate the usefulness of parallax adjustment using two view reconstruction methods based on disparity-compensated linear interpolation: a quadtree method with block splitting adapted to object boundaries and a pixel based method. For all, but most complex stereoscopic images tested both algorithms performed very well, especially the pixel-based approach. In terms of the overall usefulness of parallax adjustment, the initial test have shown a very favorable viewer response; the perceived depth was judged to vary smoothly from zero through natural 3D to exaggerated 3D. The adjustment was convincing although not completely free of distortions.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janusz Konrad "Enhancement of viewer comfort in stereoscopic viewing: parallax adjustment", Proc. SPIE 3639, Stereoscopic Displays and Virtual Reality Systems VI, (24 May 1999); https://doi.org/10.1117/12.349379
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Cited by 46 scholarly publications.
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KEYWORDS
Cameras

3D image processing

3D modeling

Reconstruction algorithms

Algorithm development

Image fusion

Eye

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