UM
DEPTH SUPER-RESOLUTION USING JOINT ADAPTIVE WEIGHTED LEAST SQUARES AND PATCHING GRADIENT
Li, Yuyuan; Sun, Jiarui; Wang, Bingshu; Zhao, Yong; IEEE
2018
Conference Name2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Pages1458-1462
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
AbstractThis paper presents a flexible framework for the challenging task of color-guided depth upsampling. Some state-of-the-art approaches apply an aligned RGB image for depth recovery. Unfortunately, these kinds of methods may result in texture copying artifacts and edge blurring artifacts. To address these difficulties, we propose an adaptive weighted least squares framework of choosing different guidance weight for variant conditions flexibly. First of all, in the framework, we propose a joint adaptive color weighting scheme in which the depth maps and color images jointly choose a proper weight term for diverse cases. Then, a patch-based smoothness measuring approach called patching-gradient method (PGM) is proposed to distinguish the discontinuities and smooth areas. Our PGM is robust to dense noise and preserve weak edges effectively. Quantitative and qualitative experiments on noisy ToF-like datasets demonstrate our frameworks effectiveness on suppressing both texture copying artifacts and edge blurring artifacts.
KeywordDepth map super-resolution ToF WLS Patching-gradient method De-noising
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000446384601129
The Source to ArticleWOS
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Li, Yuyuan,Sun, Jiarui,Wang, Bingshu,et al. DEPTH SUPER-RESOLUTION USING JOINT ADAPTIVE WEIGHTED LEAST SQUARES AND PATCHING GRADIENT[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1458-1462.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Yuyuan]'s Articles
[Sun, Jiarui]'s Articles
[Wang, Bingshu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Yuyuan]'s Articles
[Sun, Jiarui]'s Articles
[Wang, Bingshu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Yuyuan]'s Articles
[Sun, Jiarui]'s Articles
[Wang, Bingshu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.