Second-Order Semi-Global Stereo Matching Algorithm Based on Slanted Plane Iterative Optimization

Second-Order Semi-Global Stereo Matching Algorithm Based on Slanted Plane Iterative Optimization

Stereo matching is a difficult and challenging task due to many uncontrollable factors that affect the results. These factors include the non-ideal radiometric conditions and the presence of weak-textured regions. A stereo matching algorithm including cost computation, cost aggregation, disparity co...

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Bibliographic Details
Main Authors: Jinyan Ni, Qingwu Li, Yan Liu, Yan Zhou
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Stereo vision
image matching
robust cost
second-order semi-global
coarse-to-fine simple liner iterative cluster superpixel segmentation
Online Access:https://ieeexplore.ieee.org/document/8497046/

Internet

https://ieeexplore.ieee.org/document/8497046/

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