DocumentCode
2140401
Title
Improvement of visual fatigue based on vertical parallax elimination
Author
Zhou Bailing ; Zhao Yan ; Wang Jingyuan ; Chen Hexin
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear
2013
fDate
23-25 July 2013
Firstpage
1365
Lastpage
1369
Abstract
Visual fatigue is gaining widespread attention with the booming development of 3D stereoscopic video technology. Vertical parallax is one of the reasons which can cause visual fatigue. A method for vertical parallax elimination without camera parameters was proposed in this paper. First, distinctive invariant feature points were extracted in 3D geometric space. Next, three-dimensional projective transformation matrix H was calculated by the feature points. Last, matrix H was applied to one of the two views. Experimental results show that the vertical parallax is greatly reduced by using the proposed method. Furthermore, when comparing with the method of two-dimensional projective transformation, our algorithm performs better.
Keywords
feature extraction; matrix algebra; stereo image processing; video signal processing; 2D projective transformation; 3D geometric space; 3D projective transformation matrix; 3D stereoscopic video technology; distinctive invariant feature points; vertical parallax elimination; visual fatigue; Cameras; Fatigue; Feature extraction; Stereo image processing; Three-dimensional displays; Visualization; depth information; three-dimensional projective transformation; vertical parallax elimination; visual fatigure;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818192
Filename
6818192
Link To Document