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Scale-invariant feature transform

Known as: Autopano-sift, Scale invariant feature transform, Autopano Pro 
Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was… 
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Related topics

Related topics

49 relations
3D modelingAIBOAugmented realityBag-of-words model in computer vision

Broader (1)

Feature detection (computer vision)

Papers overview

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2020
2020
Palm pattern recognition using scale invariant feature transform
In this research paper, we propose an efficient scale invariant feature transform (SIFT) for palm pattern recognition. A… 
Review
2014
Review
2014
SIFT: Scale Invariant Feature Transform (Review)
This paper presents a study on SIFT (Scale Invariant Feature transform) which is a method for extracting distinctive invariant… 
2014
2014
Image Watermarking Scheme Based on Scale-Invariant Feature Transform
In this paper, a robust watermarking scheme is proposed that uses the scale-invariant feature transform (SIFT) algorithm in the… 
2014
2014
Efficient heterogeneous face recognition using Scale Invariant Feature Transform
Face recognition includes analysis of an image and extracting its facial features which will help to discriminate it from others… 
2011
2011
Gradient-based musical feature extraction based on scale-invariant feature transform
We investigate a novel gradient-based musical feature extracted using a scale-invariant feature transform. This feature enables… 
2010
2010
Study on improved scale Invariant Feature Transform matching algorithm
False matching feature points are caused by Scale Invariant Feature Transform (SIFT) which just considers the local feature… 
2009
2009
Modified Scale Invariant Feature Transform in omnidirectional images
The Scale Invariant Feature Transform, SIFT, is invariant to image translation, scaling, rotation, and is partially invariant to… 
2008
2008
π-SIFT: A photometric and Scale Invariant Feature Transform
For many years, various local descriptors that are insensitive to geometric changes such as viewpoint, rotation, and scale… 
2007
2007
Scale Invariant Feature Transform for n-Dimensional Images (n-SIFT)
This document describes the implementation of several features previously developed[2], extending the 2D scale invariant feature… 
2006
2006
Self-Calibration with Two Views Using the Scale-Invariant Feature Transform
In this paper, we present a self-calibration strategy to estimate camera intrinsic and extrinsic parameters using the scale… 
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