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53‐4: Image Saliency Detection based Depth Adjustment for Stereoscopic Image
Author(s) -
Xia Zhenping,
Cheng Cheng,
Hu Fuyuan,
Zhang Zhancheng
Publication year - 2016
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.10735
Subject(s) - stereoscopy , computer vision , artificial intelligence , computer science , image (mathematics) , plane (geometry) , computer graphics (images) , mathematics , geometry
Considering the improper depth distribution caused eye fatigue, we proposed a novel stereoscopic depth adjustment method to improve the visual comfort and enhance viewing experience. The proposed method combined the image saliency and specific viewing condition to establish a novel model for computing the optimum zero‐disparity plane of stereoscopic image.