If you want a basic understanding of computer visionas underlying theory and algorithms, this hands-on introduction is the ideal place to start. Youall 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 wonat 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 youave 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 same scene Organize images based on similarity or content, using clustering methods Build efficient image retrieval techniques to search for images based on visual content Use algorithms to classify image content and recognize objects Access the popular OpenCV library through a Python interfaceFamiliarity with Python or other scripting languages like Ruby or Matlab will help. ... The code examples in this book will show you object recognition, content- based image retrieval, image search, optical character recognition, optical flow, anbsp;...
|Title||:||Programming Computer Vision with Python|
|Author||:||Jan Erik Solem|
|Publisher||:||"O'Reilly Media, Inc." - 2012-06-19|