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Howtos and tutorials about building a classifier based on Haar-like features

Monday, 29 March 2010 21:23 | Author: Andreas |

I want to share my collection of links of how to build a classifier based on haar-like feature using OpenCV. If you know another (open source) implementation please leave me a message!

An example where a bowl is detected
http://lab.cntl.kyutech.ac.jp/~kobalab/nishida/opencv/OpenCV_ObjectDetection_HowTo.pdf

A wiki describing how to build a haar classifier for robotic vision
http://cgi.cse.unsw.edu.au/~cs4411/wiki/index.php?title=OpenCV_Guide#Haar_Classifier

Frequently asked questions about haar training (mainly basics about positive and negative input file format, how to read the output of the OpenCV haar training program ...)
http://www.computer-vision-software.com/blog/2009/11/faq-opencv-haartraining/

Short summary of the output during haar training
http://cv-kolaric.blogspot.com/2008/03/output-from-haartrainingexe.html

How to fix cvboost.cpp if you encounter a "bad flag" error during haar training
http://tech.groups.yahoo.com/group/OpenCV/message/69620

Another example of how to detect a bowl
http://www.computer-vision-software.com/blog/2009/06/opencv-haartraining-detect-objects-using-haar-like-features/

One of the best tutorial (imho) of how to build a cascade of boosted classifiers based on haar-like features. It's a step by step manual for face detection.
http://note.sonots.com/SciSoftware/haartraining.html

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Last Updated (Thursday, 08 April 2010 14:42)

Publications

Sunday, 04 October 2009 18:55 | Author: Andreas |

Rogojanu R., Mesteri I., Ellinger I., Thalhammer T., Kallay E., Heindl A., Seewald A., Bises G.: Characterization and Quantification of Macrophages in Colorectal Cancer by an Automated Cell Detection System. Poster presentation at the 6th PhD Symposium of the Young Scientist Assocation of the Medical University of Vienna, June 2010, Vienna, Austria.

Heindl A., Pohl V., Rogojanu R., Ecker R., Thalhammer T., Bises G., Seewald A., Ellinger I.: Towards a Versatile Automated Cell-Detection System for Science and Diagnostics exemplified through receptor for advanced glycated end-products (RAGE) quantification in placental chorionic villi. Poster presentation at the 6th PhD Symposium of the Young Scientist Association of the Medical University of Vienna, June 2010, Vienna, Austria.

Heindl A., Ecker R., Steiner G., Bises G., Thalhammer T., Rogojanu R., Uhrova H., Helmer H., Ellinger E., Seewald A.: Automated cell-detection technologies for science and diagnostics. Placenta 30 (9) 2009: P06.14. download

Heindl A., Ecker R., Steiner G., Bises G., Ellinger I., Thalhammer T., Fuchs R., Uhrova H., Seewald A.: Automated cell-detection technologies for science and diagnostics. Poster presentation at the 5th PhD Symposium of the Young Scientist Association of the Young Scientist Association of the Medical University of Vienna, June 2009, Vienna, Austria.

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Last Updated (Monday, 23 August 2010 12:33)