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Programming Computer Vision with Python BY Jan Erik Solem



Computer vision is that the automated extraction of data from images. Information can mean anything from 3D models, camera position, object detection and recognition to grouping and searching image content. during this book we take a good definition of computer vision and include things like image warping, De-noising and augmented reality

1. Sometimes computer vision tries to mimic human vision, sometimes uses a knowledge and statistical approach, sometimes geometry is that the key to solving problems. we'll attempt to cover all of those angles during this book. Practical computer vision contains a mixture of programming, modeling, and arithmetic and is usually difficult to understand .
I even have deliberately tried to present the fabric with a minimum of theory within the spirit of "as simple as possible but no simpler". The mathematical parts of the presentation are there to assist readers understand the algorithms. Some chapters are naturally very math heavy (chapters 4 and 5 mainly). Readers can skip the maths if they like and still use the instance code.
What you would like to understand 
• Basic programming experience. you would like to understand the way to use an editor and run scripts, the way to structure code also as basic data types. Familiarity with Python or other scripting style languages like Ruby or Matlab will help.


 • Basic mathematics. to form full use of the examples it helps if you recognize about matrices, vectors, matrix operation , the quality mathematical functions and ideas like derivatives and gradients. a number of the more advanced mathematical examples are often easily skipped.

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