Image matching based on orientation-magnitude histograms and global consistency

DOI10.1016/J.PATCOG.2012.03.026zbMath1242.68273OpenAlexW1995432279MaRDI QIDQ437770

Zhenmei Liao, Su Yang, Jianning Liang, Yuan Yuan Wang

Publication date: 19 July 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.03.026

zbMATH Keywords

global consistencyimage matchingsteepest descent methodorientation-magnitude histogram

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (1)

Estimation of linear deformations of 2D and 3D fuzzy objects

Uses Software

• PCA-SIFT
• SIFT
• SURF

Cites Work

• A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
• Multiple View Geometry in Computer Vision
• Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images

This page was built for publication: Image matching based on orientation-magnitude histograms and global consistency