Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints

Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints

Wide baseline stereo matching is a challenging task because of the presence of significant geometric deformations and illumination changes within the images. Based on the scale invariant feature transformation (SIFT) algorithm, this study proposes a new hybrid matching scheme that uses both the feat...

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Bibliographic Details
Main Authors: Huachao Yang, Mei Yu, Shubi Zhang
Format: Article
Language:English
Published: Wiley 2014-12-01
Series:IET Computer Vision
Subjects:
wide baseline stereo matching
hybrid geometric constraints
geometric deformations
illumination changes
scale invariant feature transformation algorithm
SIFT algorithm
Online Access:https://doi.org/10.1049/iet-cvi.2013.0265

Internet

https://doi.org/10.1049/iet-cvi.2013.0265

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