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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Huachao Yang, Mei Yu, Shubi Zhang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2014-12-01
Schriftenreihe:IET Computer Vision
Schlagworte:
wide baseline stereo matching
hybrid geometric constraints
geometric deformations
illumination changes
scale invariant feature transformation algorithm
SIFT algorithm
Online-Zugang:https://doi.org/10.1049/iet-cvi.2013.0265
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