OpenCV Computer Vision Application Programming Cookbook

Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library

Häftad, Engelska, 2014

637 kr

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Beskrivning

Key FeaturesBook DescriptionOpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.What you will learnInstall and create a program using the OpenCV libraryProcess an image by manipulating its pixelsAnalyze an image using histogramsSegment images into homogenous regions and extract meaningful objectsApply image filters to enhance image contentExploit image geometry in order to relate different views of a pictured sceneCalibrate the camera from different image observationsDetect faces and people in images using machine learning techniquesWho this book is for

Produktinformation

Utgivningsdatum:2014-08-26
Mått:191 x 235 x 21 mm
Vikt:697 g
Format:Häftad
Språk:Engelska
Antal sidor:374
Upplaga:2
Förlag:Packt Publishing Limited
ISBN:9781782161486

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking.Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics.Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.

Innehållsförteckning

Table of ContentsPlaying with ImagesManipulating the PixelsProcessing Images with ClassesCounting the Pixels with HistogramsTransforming images with morphological operationsFiltering the ImagesExtracting Lines, Contours and ComponentsDetecting and Matching Interest PointsEstimating Projective Relations in ImagesProcessing Video SequencesObject detection and machine learning