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Computer vision for the web : unleash the power of computer vision algorithms in JavaScript to develop vision-enabled web content /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Akhmadeev, Foat (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Akhmadeev, Foat,  |e author. 
245 1 0 |a Computer vision for the web :  |b unleash the power of computer vision algorithms in JavaScript to develop vision-enabled web content /  |c Foat Akhmadeev. 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from cover (Safari, viewed November 30, 2015). 
500 |a "Open source." 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Math Never Was So Simple!; Installation and core structure representation of JSFeat; Initializing the project; Understanding a digital image; Loading an image into a matrix; Basic matrix operations; Going deeper; Matrix displaying; Useful functions and where to use them; Sorting using JSFeat; Linear algebra; A perspective example; Summary; Chapter 2: Turn Your Browser into Photoshop; Introducing the tracking.js library; Installation and image loading. 
505 8 |a Conversion between JSFeat and tracking.js image formatsWhat is filtering and how to use it?; Image convolution; The Gaussian filter and separate convolution; The box blur; The integral image; Basic edge detection; The Sobel filter; Other operators; Advanced image processing; The Canny edge detector; Histogram equalization; Summary; Chapter 3: Easy Object Detection for Everyone; Detecting color objects; Using predefined colors with the tracking.js library; Using your own colors; Digging into the tracking.js API; Using the and tags; Building a custom tracker; Image features. 
505 8 |a Detecting key pointsA practical example; Descriptors and object matching; The BRIEF and ORB descriptors; Descriptors implementation and their matching; Finding an object location; Summary; Chapter 4: Smile and Wave, Your Face Has Been Tracked!; Face detection with JSFeat; Face detection using Haar-like features; Brightness binary features; Tagging people with tracking.js; Haar features with tracking.js; Tagging people in photos; Head tracking with Camshift; The idea behind head tracking; The head tracking application; Summary; Chapter 5: May JS Be with You! Control Your Browser with Motion. 
505 8 |a Basic tracking with tracking.jsAn example of an object tracking application; Controlling objects with the head motion; The Head-coupled perspective; Controlling a simple box; Optical flow for motion estimation; The Lucas-Kanade optical flow; Optical flow map with oflow; Track points with JSFeat; Zooming with gestures; Summary; Chapter 6: What's Next?; Refresh your memory; Importance of client-side scripting; Other interesting libraries in Computer Vision; CCV library and its extensions; Face detection and more; Object detection with js-objectdetect; Summary; Index. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Computer vision. 
650 0 |a Image processing. 
650 6 |a Vision par ordinateur. 
650 6 |a Traitement d'images. 
650 7 |a image processing.  |2 aat 
650 7 |a COMPUTERS  |x General.  |2 bisacsh 
650 7 |a Computer vision  |2 fast 
650 7 |a Image processing  |2 fast 
776 0 8 |i Print version:  |a Akhmadeev, Foat.  |t Computer Vision for the Web.  |d Birmingham : Packt Publishing Ltd, ©2015  |z 9781785886171 
830 0 |a Community experience distilled. 
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