Research on the fundamental principles and characteristics of correspondence function

DOI10.1155/2015/721842zbMath1394.68399OpenAlexW1609990112WikidataQ59119036 ScholiaQ59119036MaRDI QIDQ1666428

Xiangru Li, Q. M. Jonathan Wu, Guang-Hui Wang

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/721842

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Machine vision and scene understanding (68T45)

Uses Software

• SIFT
• MLESAC

Cites Work

• Regularized vector field learning with sparse approximation for mismatch removal
• Evaluation of interest point detectors and feature descriptors for visual tracking
• Feature-based deformable surface detection with self-occlusion reasoning
• An adversarial optimization approach to efficient outlier removal
• Principal warps: thin-plate splines and the decomposition of deformations
• Least Median of Squares Regression
• Rejecting Outliers Based on Correspondence Manifold
• Robust <formula formulatype="inline"><tex Notation="TeX">$L_{2}E$</tex> </formula> Estimation of Transformation for Non-Rigid Registration
• Robust Point Matching via Vector Field Consensus
• Correspondence Propagation with Weak Priors
• A Novel Algorithm for View and Illumination Invariant Image Matching
• Robust Statistics

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