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
Published in:IET Computer Vision
Main Authors: Huachao Yang, Mei Yu, Shubi Zhang
Format: Article
Language:English
Published: Wiley 2014-12-01
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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