Description
If you need a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.
Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on find out how to reproduce and build upon every example, along side exercises that can assist you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.
- Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
- Work with image mappings and transforms, such as texture warping and panorama creation
- Compute 3D reconstructions from several images of the similar scene
- Organize images in accordance with similarity or content, the usage of clustering methods
- Build efficient image retrieval techniques to seek for images in accordance with visual content
- Use algorithms to classify image content and recognize objects
- Access the preferred OpenCV library through a Python interface