Concise Computer Vision
- The Full Program Based on a 2013 Draft of the CCV Book-
A complete CCV course taught by Professor Reinhard Klette
and tutor Hugo Carlos Martinez in the second semester 2013 at CIMAT, Guanajuato.
This was a course for graduate (MSc and PhD students) and selected undergraduate students of Guanajuato University. Each lecture note is for about 80 minutes of teaching.
This CCV course was composed of lectures, two assignments,
tutorials (introducing into OpenCV and the assignments, and also discussing exercises in the book),
three seminars (students presenting their solutions to assignments),
a review of all the taught material prior to the exam date, and a written exam.
The lectures followed a draft of the
book Concise Computer Vision by
Reinhard Klette, published in January 2014 by Springer, London, UK. The lecture notes below were created based on a draft of the CCV book (prior to finalising the structure, and also prior to the editorial book editing by the publisher).
- Normalization etc.
- Advanced Edge Detection
- From Adjacency to Regions
- Image Value Analysis
- 3D Motion and Optic Flow
- Horn-Schunck etc.
- Segmentation 1
- Segmentation 2
- Segmentation 3
- Camera Calibration
- Surfaces and Structured Light
- Stereo Vision and PMS
- PMS and Vector Field Integration
- Stereo Matching 1
- Stereo Matching 2
- Stereo Matching 3
- Tracking 1
- Tracking 2
- Tracking 3
- Particle Filter
- Kalman Filter
- Object Detection
- Haar-features, Viola-Jones, AdaBoost
- Random Decision Forests, Pedestrian Detection
- Review (of the lectures, tutorials, and assignment) by discussing
Exercises, Part I and Exercises, Part II as given in the book, and also
simpler questions in
Exam Preparation, Part I and Exam Preparation, Part II for preparation for the written exam; the written exam about this CCV course was a (slightly modified) subset of those simpler questions on those two lists.
Copyright for material (above) on this website (if not otherwise specified): Reinhard Klette
A few images (as used in the CCV book)
Video sequences on EISATS
Intro into OpenCV by Gady Agam
FREE SYSTEMS or SOURCES
The Computer Vision Homepage.