If you want 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 how to reproduce and
build upon each example, along with exercises to help 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 applicationsWork with image
mappings and transforms, such as texture warping and panorama
creationCompute 3D reconstructions from several images of the same
sceneOrganize images based on similarity or content, using
clustering methodsBuild efficient image retrieval techniques to
search for images based on visual contentUse algorithms to classify
image content and recognize objectsAccess the popular OpenCV
library through a Python interface
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