OpenCV Computer Vision Application Programming
Unlock the Power of OpenCV in Computer Vision Applications
Created by Sebastian Montabone
Explore the world of computer vision by learning how to build real applications with OpenCV. You'll start with installation, then move on to image processing, object recognition, and more. By working with real images and practical code, you'll gain the skills to tackle challenging vision projects.
Packt | May 2013 | 147 min
What You Will Learn
You'll follow a hands-on path, starting with installation and moving through practical projects that use real images. Each topic is broken down into clear steps, so you can see how code translates to results. By practicing with real examples, you'll build confidence and skill in applying OpenCV to your own projects.
Key Features
- Set up OpenCV on both Linux and Windows for immediate project work
- Apply image processing and segmentation to real-world images
- Recognize and detect objects, faces, and people using proven techniques
Target Audience
Perfect for programmers, developers, and engineers who want to dive into computer vision. If you have a basic understanding of programming and want to learn how to use OpenCV for tasks like object detection or computational photography, you'll find the guidance you need to get started and advance your skills.
