Best-buddies similarity for robust template matching
We propose a novel method for template matching in unconstrained environments. Its
essence is the Best Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …
essence is the Best Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …
Template matching with deformable diversity similarity
I Talmi, R Mechrez… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We propose a novel measure for template matching named Deformable Diversity Similarity--
based on the diversity of feature matches between a target image window and the template …
based on the diversity of feature matches between a target image window and the template …
Best-buddies similarity—Robust template matching using mutual nearest neighbors
We propose a novel method for template matching in unconstrained environments. Its
essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …
essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …
基于RANSAC 的SIFT 匹配优化
赵烨， 蒋建国， 洪日昌 - Opto-Electronic Engineering, 2014 - opticsjournal.net
摘要本文提出了一种基于RANSAC 的SIFT 匹配优化. 采用加权的圆形邻域替代原有SIFT
描述子矩形邻域, 使得描述子维度降低了25%. 根据特征点最近邻与次近邻的距离比越低 …
描述子矩形邻域, 使得描述子维度降低了25%. 根据特征点最近邻与次近邻的距离比越低 …
Fast robust correlation
AJ Fitch, A Kadyrov, WJ Christmas… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
A new, fast, statistically robust, exhaustive, translational image-matching technique is
presented: fast robust correlation. Existing methods are either slow or non-robust, or rely on …
presented: fast robust correlation. Existing methods are either slow or non-robust, or rely on …
Research on image matching of improved sift algorithm based on stability factor and feature descriptor simplification
L Tang, S Ma, X Ma, H You - Applied Sciences, 2022 - mdpi.com
In view of the problems of long matching time and the high-dimension and high-matching
rate errors of traditional scale-invariant feature transformation (SIFT) feature descriptors, this …
rate errors of traditional scale-invariant feature transformation (SIFT) feature descriptors, this …
Development of video analytics with template matching methods for using camera as sensor and application to highway bridge structural health monitoring
Structural health monitoring (SHM) has been conducted by placing sensors on structures, so-
called contact sensors, to measure displacements, strains, and accelerations of engineering …
called contact sensors, to measure displacements, strains, and accelerations of engineering …
Asymmetric correlation: a noise robust similarity measure for template matching
We present an efficient and noise robust template matching method based on asymmetric
correlation (ASC). The ASC similarity function is invariant to affine illumination changes and …
correlation (ASC). The ASC similarity function is invariant to affine illumination changes and …
Fast template match algorithm for spatial object detection using a stereo vision system for autonomous navigation
O Real-Moreno, JC Rodríguez-Quiñonez… - Measurement, 2023 - Elsevier
The spatial object detection for autonomous navigation is an active research topic with many
works published about it, many of them use object detection and stereo vision systems to …
works published about it, many of them use object detection and stereo vision systems to …
Matching pixels using co-occurrence statistics
R Kat, R Jevnisek, S Avidan - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
We propose a new error measure for matching pixels that is based on co-occurrence
statistics. The measure relies on a co-occurrence matrix that counts the number of times …
statistics. The measure relies on a co-occurrence matrix that counts the number of times …