High Level Computer Vision Using OpenCV

This paper presents some more advanced topics in image processing and computer vision, such as Principal Components Analysis, Matching Techniques, Machine Learning Techniques, Tracking and Optical Flow and Parallel Computer Vision using CUDA. These concepts will be presented using the open CV librar...

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Bibliographic Details
Main Authors: Marengoni, M., Stringhini, D.
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Correlation
Feature extraction
Histograms
Image edge detection
Image segmentation
openCV
parallel computer vision
Pattern recognition
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Summary:This paper presents some more advanced topics in image processing and computer vision, such as Principal Components Analysis, Matching Techniques, Machine Learning Techniques, Tracking and Optical Flow and Parallel Computer Vision using CUDA. These concepts will be presented using the open CV library, which is a free computer vision library for C/C++ programmers available for Windows, Linux Mac OS and Android platforms. These topics will be covered considering not only theoretical aspects but practical examples will be presented in order to understand how and when to use each of them.
DOI:10.1109/SIBGRAPI-T.2011.11