DocumentCode :
75038
Title :
MGSA-Type Computer-Generated Holography for Vision Training With Head-Mounted Display
Author :
Qing-Long Deng ; Bor-Shyh Lin ; Chang, Hsuan T. ; Guan-Syun Huang ; Chien-Yue Chen
Author_Institution :
Inst. of Photonic Syst., Nat. Chiao Tung Univ., Tainan, Taiwan
Volume :
10
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
433
Lastpage :
437
Abstract :
A computer-generated holography head-mounted display (HMD) for vision training is proposed in this study. Based on modified Gerchberg-Saxton algorithm (MGSA) to calculate the phase distribution of light wave and the position multiplexing, the images with fixation disparity or changed disparity are successfully coded as phase only function. After decryption and reconstruction, the left and the right images are transmitted to HMD for a trainee viewing the images with disparity changes and moderating the stereoacuity of both eyes, ranging from 32.24 arcsec to 2.14 arcmin. The images reconstructed with MGSA-type CGH present the relative diffraction efficiency about 86% and visibility 94%, which not only provide high-contrast image quality, and the changing disparity allows achieving the training effect.
Keywords :
computer vision; computer-generated holography; helmet mounted displays; image coding; image reconstruction; light diffraction; stereo image processing; three-dimensional displays; HMD; MGSA-type CGH; MGSA-type computer generated holography; changed disparity; diffraction efficiency; eyes stereoacuity; fixation disparity; head mounted display; image coding; image decryption; image quality; image reconstruction; image transmission; light wave; modified Gerchberg-Saxton algorithm; phase distribution calculation; phase only function; position multiplexing; vision training effect; Convergence; Diffraction; Educational institutions; Image reconstruction; Muscles; Optical fibers; Training; Computer-generated holography; head-mounted display (HMD); stereo vision;
fLanguage :
English
Journal_Title :
Display Technology, Journal of
Publisher :
ieee
ISSN :
1551-319X
Type :
jour
DOI :
10.1109/JDT.2013.2276129
Filename :
6576119
Link To Document :
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