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Dublin University Crest Computer Science Department > Dr. Kenneth Dawson-Howe > Practical Vision textbook Trinity College Crest
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 1. Introduction
 2. Images
 3. Histograms
 4. Binary Vision
 5. Geometric
 6. Edges
 7. Features
 8. Recognition
 9. Video
 OpenCV information
 Lecture notes
 Application Problems
 

Code samples - Recognition.

The Recognition code (provided in Recognition.cpp) runs the following demos:


Shape Statistics:
Template matching:
Chamfer Matching:
Cascade of Haar Classifiers (for Full Frontal Face Detection):
Histogram of Oriented Gradients (for People Detection):

Copyright © 2021 Wiley & Kenneth Dawson-Howe. Unless indicated otherwise, the rights to the materials presented here are held by Wiley and/or Kenneth Dawson-Howe. All rights reserved with the following exceptions:
  • Permission is granted to reuse the code presented here for teaching purposes subject to the textbook ("A Practical Introduction to Computer Vision with OpenCV" by Kenneth Dawson-Howe, Wiley 2014.) being included as a recommended text on any associated course, and to an appropriate copyright notice being reproduced along with the material.
Email  kdawson @ cs.tcd.ie