Editing Scale-invariant feature transform (section)

== External links ==
{{external links|section|date=September 2020}}

'''Related studies:'''
* {{cite journal |last1=Wang |first1=YuanBin |last2=Bin |first2=Zhang |last3=Ge |first3=Yu |title=The Invariant Relations of 3D to 2D Projection of Point Sets |journal=Journal of Pattern Recognition Research |date=2008 |volume=3 |issue=1 |pages=14–23 |doi=10.13176/11.26 |doi-broken-date=3 December 2024 }}
* {{cite journal |last1=Lowe |first1=David G. |title=Distinctive Image Features from Scale-Invariant Keypoints |journal=International Journal of Computer Vision |date=November 2004 |volume=60 |issue=2 |pages=91–110 |doi=10.1023/B:VISI.0000029664.99615.94 }}
* {{cite journal |last1=Mikolajczyk |first1=K. |last2=Schmid |first2=C. |title=A performance evaluation of local descriptors |journal=IEEE Transactions on Pattern Analysis and Machine Intelligence |date=October 2005 |volume=27 |issue=10 |pages=1615–1630 |doi=10.1109/TPAMI.2005.188 |pmid=16237996 }}
* Andrea Maricela Plaza Cordero, Jorge Luis Zambrano-Martinez, " [http://41jaiio.sadio.org.ar/sites/default/files/6_EST_2012.pdf Estudio y Selección de las Técnicas SIFT, SURF y ASIFT de Reconocimiento de Imágenes para el Diseño de un Prototipo en Dispositivos Móviles]", 15º Concurso de Trabajos Estudiantiles, EST 2012
* {{cite web|url=https://www.cs.cmu.edu/~yke/pcasift/|title=PCA-SIFT: A More Distinctive Representation for Local Image Descriptors|archive-url=https://web.archive.org/web/20200126202031/https://www.cs.cmu.edu/~yke/pcasift/|archive-date=26 January 2020}}
*  [[Svetlana Lazebnik|Lazebnik, S.]], [[Cordelia Schmid|Schmid, C.]], and Ponce, J., [http://www-cvr.ai.uiuc.edu/ponce_grp/publication/paper/bmvc04.pdf Semi-Local Affine Parts for Object Recognition, BMVC, 2004. ] {{Webarchive|url=https://web.archive.org/web/20171011044539/http://www-cvr.ai.uiuc.edu/ponce_grp/publication/paper/bmvc04.pdf |date=2017-10-11 }}

'''Tutorials:'''
* [http://www.scholarpedia.org/article/SIFT Scale-Invariant Feature Transform (SIFT) in Scholarpedia]
* [http://www.aishack.in/tutorials/sift-scale-invariant-feature-transform-introduction/ A simple step by step guide to SIFT]
* {{cite web|url=http://www.berilsirmacek.com/sift_multiple_object_detection.html|title=SIFT for multiple object detection|archive-url=https://web.archive.org/web/20150403120732/http://www.berilsirmacek.com/sift_multiple_object_detection.html|archive-date=3 April 2015}}
* "[http://www.ipol.im/pub/pre/82/ The Anatomy of the SIFT Method]" in Image Processing On Line, a detailed study of every step of the algorithm with an open source implementation and a web demo to try different parameters

'''Implementations:'''
* [https://robwhess.github.com/opensift/ Rob Hess's implementation of SIFT] accessed 21 Nov 2012
* [http://www.ipol.im/pub/algo/my_affine_sift/ ASIFT (Affine SIFT)]: large viewpoint matching with SIFT, with source code and online demonstration
* [http://www.vlfeat.org/api/sift.html VLFeat], an open source computer vision library in C (with a MEX interface to MATLAB), including an implementation of SIFT
* [http://pami.xmu.edu.cn/~wlzhao/lip-vireo.htm LIP-VIREO] {{Webarchive|url=https://web.archive.org/web/20170511093542/http://pami.xmu.edu.cn/~wlzhao/lip-vireo.htm |date=2017-05-11 }}, A toolkit for keypoint feature extraction (binaries for Windows, Linux and SunOS), including an implementation of SIFT
* [https://sites.google.com/site/btabibian/projects/3d-reconstruction/code (Parallel) SIFT in C#], SIFT algorithm in C# using Emgu CV and also a modified parallel version of the algorithm.
* [http://www.mathworks.com/matlabcentral/fileexchange/38782 DoH & LoG + affine], Blob detector adapted from a SIFT toolbox
* [https://github.com/robertwgh/ezSIFT ezSIFT: an easy-to-use standalone SIFT implementation in C/C++]. A self-contained open-source SIFT implementation which does not require other libraries.
* [http://www.matthewtoews.com/fba/featExtract1.3.zip A 3D SIFT implementation: detection and matching in volumetric images.]

[[Category:Feature detection (computer vision)]]
[[Category:Object recognition and categorization]]