CAISOV: Collinear Affine Invariance and Scale-Orientation Voting for Reliable Feature Matching

CAISOV: Collinear Affine Invariance and Scale-Orientation Voting for Reliable Feature Matching

Reliable feature matching plays an important role in the fields of computer vision and photogrammetry. Due to the complex transformation model caused by photometric and geometric deformations, and the limited discriminative power of local feature descriptors, initial matches with high outlier ratios...

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Bibliographic Details
Main Authors: Haihan Luo, Kai Liu, San Jiang, Qingquan Li, Lizhe Wang, Wanshou Jiang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
feature matching
outlier removal
geometric constraint
match expansion
collinear affine invariance
structure-from-motion
Online Access:https://www.mdpi.com/2072-4292/14/13/3175

Internet

https://www.mdpi.com/2072-4292/14/13/3175

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