NDLI: As-global-as-possible stereo matching with adaptive smoothness prior

Content Provider	IET Digital Library
Author	Yao, Peng Zhang, Hua Xue, Yanbing Chen, Shengyong
Abstract	More global matching (MGM) overcomes the limitation of one-dimensional scanline optimisation in semi-global matching (SGM). Nevertheless, the possible weaknesses of the MGM algorithm are as follows: (i) only two directions are considered for each image traversal direction, which may lead to massive mismatches; (ii) disparity estimation around the object boundaries usually performs terrible since the smoothness term is designed independent of the image prior. In this research, the authors consider all of the four directions for each image traversal direction through a novel model. Besides utilising the prior of neighboured pixels' correlation, adaptive smoothness terms are modelled and augmented into the energy function. These contributions encourage ‘as-global-as-possible (AGAP)’. More importantly, different from the recent works in which the aggregated algorithms have been conducted as the data term of an energy function, conversely, the authors make the energy function as a part of cost aggregation framework. Performance evaluations on Middlebury v.2 and v.3 stereo data sets demonstrate that the proposed AGAP outperforms other four most challenging stereo matching algorithms, and also performs better on Microsoft i2i stereo videos. In addition, under various strategies of parallelisation, the presented AGAP shows a near real-time execution time.
Starting Page	98
Ending Page	107
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5801
Journal	IET Image Processing
Publisher Date	2018-10-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3 Stereo Data Sets Adaptive Smoothness Aggregated Algorithm Challenging Stereo Matching Algorithm Computer Vision And Image Processing Technique Data Term Disparity Estimation Energy Function Global Matching Global-as-possible Stereo Matching I2i Stereo Videos Image Matching Image Traversal Direction Massive Mismatches MGM Algorithm Neighboured Pixel Object Boundaries One-dimensional Scanline Optimisation Optical, Image And Video Signal Processing Performance Evaluations Possible Weaknesses Semiglobal Matching Smoothness Term Stereo Image Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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