NDLI: Depth estimation by analyzing intensity distribution for light-field cameras

Content Provider	IEEE Xplore Digital Library
Author	Yatong Xu Xin Jin Qionghai Dai
Copyright Year	2015
Description	Author affiliation: Shenzhen Key Lab. of Broadband Network & Multimedia, Tsinghua Univ., Shenzhen, China (Yatong Xu; Xin Jin; Qionghai Dai)
Abstract	In this paper, a novel depth estimation algorithm is proposed for light-field cameras by fully exploiting the characteristics of 4D light-field data. Based on a standard light-field acquisition system, a novel tensor, intensity range of pixels within a microlens, is proposed, which presents much stronger correlation with the transition on focus. Then, the tendency of intensity range is combined with the texture gradient to further improve the accuracy and consistency of the estimated depth and preserve edges through global optimization. Compared with the representative approaches, the depth generated by the proposed approach presents clearer object boundaries with much richer details both for indoor and outdoor contents. Moreover, the execution time is on average 12 times lower than the existing approaches.
Starting Page	3540
Ending Page	3544
File Size	1476427
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Estimation Cameras Optimization Lenses Microoptics Focusing confidence measure depth estimation Light-field intensity range
Content Type	Text
Resource Type	Article

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