If you want a basic understanding of computer visions underlying theory and algorithms, this hands-on introduction is the ideal place to start. Youll 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 wont 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 youve 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 interface
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Mer om Programming Computer Vision with Python (2012)
I juli 2012 släpptes boken Programming Computer Vision with Python skriven av Jan Erik Solem. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 256 sidor. Förlaget bakom boken är O'Reilly Media.
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Harvard
Solem, J. E. (2012). Programming Computer Vision with Python. 1:a uppl. O’Reilly Media.
Oxford
Solem, Jan Erik, Programming Computer Vision with Python, 1 uppl. (O’Reilly Media, 2012).
APA
Solem, J. E. (2012). Programming Computer Vision with Python (1:a uppl.). O’Reilly Media.
Vancouver
Solem JE. Programming Computer Vision with Python. 1:a uppl. O’Reilly Media; 2012.