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Learning OpenCV 3 Computer Vision with Python (Update)

You're reading from   Learning OpenCV 3 Computer Vision with Python (Update) Unleash the power of computer vision with Python using OpenCV

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283840
Length 266 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up OpenCV FREE CHAPTER 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 3 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Detecting and Recognizing Objects 8. Tracking Objects 9. Neural Networks with OpenCV – an Introduction Index

Index

A

  • additive
    • about / A quick note on BGR
  • application
    • modifying / Modifying the application
  • artificial neural networks (ANN)
    • about / Artificial neural networks
    • statistical model / Artificial neural networks
    • perceptrons / Neurons and perceptrons
    • structure / The structure of an ANN
    • network layers, by example / Network layers by example
    • in OpenCV / ANNs in OpenCV
    • ANN-imal classification / ANN-imal classification
    • training epochs / Training epochs
    • digit recognition, handwritten / Handwritten digit recognition with ANNs
    • handwritten digit recognition / Handwritten digit recognition with ANNs
    • URL / Other parameters
    • improvements / Improvements
    • potential applications / Potential applications
  • AT&T
    • URL / Performing face recognition

B

  • background subtractors
    • about / Background subtractors – KNN, MOG2, and GMG
    • code / Back to the code
  • Bag of words (BOW)
    • about / Bag-of-words, BOW in computer vision
    • in computer vision / BOW...
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