High Level Computer Vision Using OpenCV

Author

Marengoni, Maurício ; Stringhini, Denise

Author_Institution

Fac. de Comput. e Inf., Univ. Presbiteriana Mackenzie, Sao Paulo, Brazil

fYear

2011

fDate

28-30 Aug. 2011

Firstpage

11

Lastpage

24

Abstract

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.

Keywords

Linux; computer vision; image matching; learning (artificial intelligence); principal component analysis; software libraries; Android platforms; CUDA; Linux Mac OS; Windows; free computer vision library; high level computer vision; image processing; machine learning techniques; matching techniques; open CV library; parallel computer vision; principal components analysis; Computer vision; Correlation; Feature extraction; Histograms; Image edge detection; Image segmentation; Pattern recognition; computer vision; openCV; parallel computer vision; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Graphics, Patterns and Images Tutorials (SIBGRAPI-T), 2011 24th SIBGRAPI Conference on

Conference_Location

Alagoas

Print_ISBN

978-1-4577-1627-0

Type

conf

DOI

10.1109/SIBGRAPI-T.2011.11

Filename

6076745