====== Pattern recognition - Basic ======

====Mean-Square Regression====
==Objective== 
Very fast if you already have a list of pixels you know belong to one contour, and you want to check if it fits to a parametric shape.
==Quick Def==
==References==
==Full Definition==

====Hough Transforms====

===Standard Hough Transform===
===Randomized Hough Transform===
[Xu,Oja,Kultanen,1989]
==Objective==
Improve speed, resolution, low memory needs, infinite scale.
==Quick Def==
If n parameters, take n points and only accumulate one point.
==References==
  - [[http://www.tsi.enst.fr/tsi/enseignement/ressources/mti/ellipses/HoughEllipse.html|Hough for ellipses [FR] ]]
  - [[http://www.cs.technion.ac.il/Labs/Isl/Project/Projects_done/VisionClasses/
Vision_1998/Hough/hough.html|Overview of Hough Transforms [EN] ]]
==Full Definition==

===Connective Randomized Hough Transform===
[Kalvianen,Hirvonen]
==Objective==
==Quick Def==
==References==
  - [[http://citeseer.ifi.unizh.ch/cache/papers/cs/314/http:zSzzSzwww.it.lut.
fizSzdokumentitzSzjulkaisutzSztiedostotzSz1995zSzKalviainen_SCIA95_crht.pdf/
connective-randomized-hough-transform.pdf| Main Article [EN] ]]
=Full Definition=

===Combinatorial Hough Transform===
==Objective==
==Quick Def==
==References==
==Full Definition==

===Adaptive Hough Transform===
[Ilingworth,Kittler,1986]
==Objective==
Improve speed and resolution.
==Quick Def==
First time at low resolution, then second time at higher resolution where there are peaks.
==References==
==Full Definition==

===Probabilistic Hough Transform===
[Kiryati,Eldar,Bruckshtein,1990]
==Objective==
Improve speed.
==Quick Def==
Only process n% of the pixels.
==References==
==Full Definition==

===Adaptive Probabilistic Hough Transform===
==Objective==
==Quick Def==
==References==
==Full Definition==

===Progressive Probabilistic Hough Transform===
==Objective==
==Quick Def==
==References==
==Full Definition==

===Hierarchical Hough Transform===
[Princen,1989]
==Objective==
==Quick Def==
==References==
==Full Definition==

===Sampling Hough Transform===
==Objective==
==Quick Def==
==References==
  - http://ieeexplore.ieee.org/iel2/640/5939/00230479.pdf?isnumber=&arnumber=230479
=Full Definition=

===Generalized Hough Transform===
==Objective==
==Quick Def==
==References==
==Full Definition==

====UpWrite method====
==References==
  - http://historical.ncstrl.org/litesite-data/uwa_ee/tr95-03.ps.gz
  
====Curvogram====


====== Pattern recognition - Learning ======

=====Viola-Jones Detector=====
[Viola,Jones, 2001]
==Quick Def==
Cascade of boosted classifiers based on Haar-like features.
==References==
  - {{|2001,Viola-Jones,Rapid Object Detection using a Boosted Cascade of Simple Features}} {{2001_Viola-Jones_Rapid Object Detection using a Boosted Cascade of Simple Features.pdf|[Local Copy]}}

====with Extended Set of Haar features====
[Lienhart,Maydt, 2002]
==Quick Def==
Basic features are line features, edge features, and center surrounded features, all of them horizontal or vertical. The extended set also includes 45° rotated features, and an optional diagonal feature.
==References==
  - {{|2002,Lienhart-Maydt,An Extended Set Of Haar-Like Features For Rapid Object Detection}} {{2002_Lienhart-Maydt_An Extended Set Of Haar-Like Features For Rapid Object Detection.pdf|[Local Copy]}}

====Stumps or CART trees====
==Quick Def==
Stumps are single node trees, and CART (Classification And Regression Trees) more complex trees with a few nodes (4 or 5).

====Rotation Invariant====
==References==
  - 

====Multiview====
===Parallel Cascades===
==Objective==
Obvious way to deal with multiview.
==Quick Def==
{{  parallel-cascades.png  }}

===Pyramid Cascades===
==Objective==
==Quick Def==
{{  pyramid-cascades.png  }}
==References==
  - {{|2002,Li-Zhu-Zhang,Statistical Learning of Multi-View Face Detection}} {{2002_Li-Zhu-Zhang_Statistical Learning of Multi-View Face Detection.pdf|[Local Copy]}}

===Tree Cascades===
==Objective==
==Quick Def==
{{  tree-cascades.png  }}
==References==
  - {{|2003,Jones-Viola,Fast MultiView Face Detection}} {{2003_Jones-Viola_Fast MultiView Face Detection.pdf|[Local Copy]}}

===Vector Boosting===
==Objective==
==Quick Def==
==References==
  - {{|2005,Huang-Ai-Li-Lao,Vector Boosting for Rotation Invariant Multi-View Face Detection}} {{2005_Huang-Ai-Li-Lao_Vector Boosting for Rotation Invariant Multi-View Face Detection.pdf|[Local Copy]}}