OpenCV Computer Vision Application Programming
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Incorporate OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out from the crowd"OpenCV Computer Vision Application Programming" allows you to dive into the world of computer vision and get many practical benefits from it with minimal effort. You will learn to recognize and identify specific faces among others, or even train your very own object detector to use it for your own specific purposes."OpenCV Computer Vision Application Programming" helps you get started with the library by first learning how to install OpenCV correctly on your system. You will then explore basic image processing concepts as well as the different interfaces that you can use in OpenCV. Develop techniques to separate foreground and background in your images, create stunning panoramas easily by stitching normal images together, enhance your photographs, calibrate your camera and automatically detect common objects like faces or people on your images. Reduce the distortion of your photographs and make straight lines of the scene look straight instead of bent in your images.You will learn to change the perspective of your images so that it appears that you are moving around, similar to google street view navigation and develop a 3D representation of a scene using stereoscopic images.On completion of this course, you will be able to mix and match the provided examples to build your own application.About the AuthorSebastian Montabone is a computer engineer with a Master of Science degree in computer vision. He is the author of scientific articles regarding image processing and a book, Beginning Digital Image Processing: Using Free Tools for Photographers.
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He uses many open source software and strongly believes in the open source philosophy. Embedded systems also have been of interest to him, especially mobile phones
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Start date
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About this course
Learn what OpenCV is and how to install it on Linux and Windows
Development with OpenCV using the recommended C++ interface, as well as an introduction to the Python and C interfaces.
Segment objects in your images using grabcut and watershed, cluster your data, and spot interesting points in the image
Merge different images into a single panorama using the technique called panorama stitching
Detect common objects in your images, like faces, eyes, or people
Train your own object detector to detect custom objects
Recognize a face among many others
Learn to calibrate your camera
Remove or reduce the distortion of an image caused by the lens, commonly known as barrel distortion
Change the perspective of an image to match a different 3D pose
Create an image that represents depth information of the scene using stereoscopic images
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Subjects
- Install
- Programming
- Threading
- Project
- Image
- Drawing
- Installation
- Visual C
- Linux
- Windows
- Benefits
Course programme
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Discover what OpenCV is and the application where OpenCV can be applied to
- Understand the benefits of using OpenCV instead of other image processing libraries
- Get to know the usage of modules in OpenCV
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Install the required libraries and setup the OpenCV library
- Compile and install the OpenCV library
- Configure the system to add OpenCV and you should have OpenCV correctly installed
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Download and install Cmake and Visual C++ 2010 Express. Then, download and extract OpenCV
- Configure and compile OpenCV with the specific system that we have
- Add OpenCV directories to the path to make the library globally accesible
- Show the different programming interfaces available
- Describe each interface
- Know which one we should use depending on our project
- Write a C program that reads an image
- Use pkg-config to compile it and use your code in your own projects easily, specially old code
- Learn how to compile the code effectively
- Write a C++ program that reads an image
- Use CMake to compile it and hence compile large and complex projects easily
- Remember that we can also use pkg-config to compile C++ programs as well
- Write and run a Python program that reads an image
- Access the pixels of the image. Read and write them
- Learn how to use chmod to activate the executable flag and then run it directly
- Explore the different shapes OpenCV has to offer
- Write text on the image
- Mix shapes and text on the same image
- Show the different programming interfaces available
- Describe each interface
- Know which one we should use depending on our project
- Write a C program that reads an image
- Use pkg-config to compile it and use your code in your own projects easily, specially old code
- Learn how to compile the code effectively
- Write a C++ program that reads an image
- Use CMake to compile it and hence compile large and complex projects easily
- Remember that we can also use pkg-config to compile C++ programs as well
- Write and run a Python program that reads an image
- Access the pixels of the image. Read and write them
- Learn how to use chmod to activate the executable flag and then run it directly
- Explore the different shapes OpenCV has to offer
- Write text on the image
- Mix shapes and text on the same image
- Show the different programming interfaces available
- Describe each interface
- Know which one we should use depending on our project
- Show the different programming interfaces available
- Describe each interface
- Know which one we should use depending on our project
- Show the different programming interfaces available
- Describe each interface
- Know which one we should use depending on our project
Additional information
OpenCV Computer Vision Application Programming