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Rank SIFT

Rank SIFT algorithm is the revised SIFT (Scale-invariant feature transform) algorithm which uses ranking techniques to improve the performance of the… 
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Ranking SVMScale-invariant feature transform

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A COMPACT SIFT-BASED STRATEGY FOR VISUAL INFORMATION RETRIEVAL IN LARGE IMAGE DATABASES
This paper applies the Standard Scale Invariant Feature Transform (S-SIFT) algorithm to accomplish the image descriptors of an… 
2018
2018
Studies on Image Stitching Algorithms in Machine Vision Inspection of Solar Panel
Image stitching is an important technology in machine vision inspection whose algorithms focus on the detection and match of… 
2017
2017
3D Face and Ear Recognition based on Partial MARS Map
This paper proposes a 3D face recognition approach based on facial pose estimation, which is robust to large pose variations in… 
2012
2012
S-SIFT: A Shorter SIFT without Least Discriminability Visual Orientation
Detection and description of local features are a classical problem in image processing and multimedia content analysis. Based on… 
2011
2011
Unconstrained iris recognition using F-SIFT
This paper proposes an efficient approach known as F-SIFT, for unconstrained iris recognition. The acquired iris image is… 
2008
2008
3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features
Local invariant feature-based methods such as SIFT have been proven highly effective for object recognition. However, they have… 
2008
2008
Clustering Using Class Specific Hyper Graphs
The aim in this paper is to develop a method for clustering together image views of the same object class. Local invariant… 
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