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OpenCV with Python Blueprints

You're reading from  OpenCV with Python Blueprints

Product type Book
Published in Oct 2015
Publisher Packt
ISBN-13 9781785282690
Pages 230 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Michael Beyeler Michael Beyeler
Profile icon Michael Beyeler
LinkedIn
Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
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Michael Beyeler (USD) Michael Beyeler (USD)
Profile icon Michael Beyeler (USD)
LinkedIn
Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
See other products by Michael Beyeler (USD)
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Table of Contents (14) Chapters

OpenCV with Python Blueprints
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Fun with Filters Hand Gesture Recognition Using a Kinect Depth Sensor Finding Objects via Feature Matching and Perspective Transforms 3D Scene Reconstruction Using Structure from Motion Tracking Visually Salient Objects Learning to Recognize Traffic Signs Learning to Recognize Emotions on Faces Index

Summary

In this chapter, we explored a number of interesting image processing effects. We used dodging and burning to create a black-and-white pencil sketch effect, explored lookup tables to arrive at an efficient implementation of curve filters, and got creative to produce a cartoon effect.

In the next chapter, we will shift gears a bit and explore the use of depth sensors, such as Microsoft Kinect 3D, to recognize hand gestures in real time.

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OpenCV with Python Blueprints
Published in: Oct 2015 Publisher: Packt ISBN-13: 9781785282690
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Authors (2)

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Profile icon Michael Beyeler
LinkedIn
Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more
See other products by Michael Beyeler
Profile icon Michael Beyeler (USD)
LinkedIn
Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Read more
See other products by Michael Beyeler (USD)
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