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Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski, Adrian Kaehler

Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler ebook
Format: pdf
Publisher: O'Reilly Media
Page: 571
ISBN: 0596516134, 9780596516130

We tried to learn about the basic concepts of computer vision, image analysis and had to go through an extensive set of frameworks to evaluate which fits our needs. This article is the first in a series looking at computer vision for iOS using the OpenCV library. For details on how it is calculated and its meaning I highly recommend you to read Chapter 12 of the book "Learning OpenCV: Computer Vision with the OpenCV Library" by Gary Bradski and Adrian Kaehler. Learn about image processing, computer vision and machine learning. Then you can move to learn OpenCV. OpenCV is an open source computer vision library developed in C and C++. Initially our project requirement was to detect/recognize human facial structure but We also took help from another project that uses OpenCV library to detect objects using 'Boosted Histograms' method, its called objectdet. OpenCV - Computer Vision Library. We will write programs that take images as input and manipulate them to meet the desired ends, and in the process learn about certain basic techniques associated with digital image processing. It is optimized and intended for real-time applications. O'Reilly Press: Learning OpenCV: Computer Vision with the OpenCV Library, Gary Bradski and Adrian Kaehler. OpenCV is released under the BSD licence and so is free for both academic and commercial use. There are many books and tutorials about this and you can use google to do the searching. Posted by OpenCV has rich image processing API that that provides wide range of functionally ranging from simple image processing tasks to machine learning algorithms.