Archive for category Programming
Hackish C++ Games & Demos Reviews
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C++: The Complete Reference
Find all the answers to your C++ questions in this conveniently organized and illustrated reference. Completely revised and updated to cover the latest programming developments, C++: The Complete Reference, Second Edition remains THE definitive resource for all C++ programmers. Programming master Herb Schildt begins in Part I with aspects of programming common to both C and C++. In Part II, he covers specific C++ features in detail, including classes and objects, virtual functions and inheritance, function and operator overloading, plus much more. In Part III, Schildt discusses effective C++ software development using practical examples. With Schildt’s invaluable insights and knowledge, you’ll improve your C++ programming skills quickly and efficiently.
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Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra provides engineers, scientists, and students with an introduction to image algebra and presents detailed descriptions of over 80 fundamental computer vision techniques. These techniques represent a core of knowledge that all computer vision practitioners should have. The book also introduces the portable iac++ library, which supports image algebra programming in the C++ language.
Image algebra provides a concise, high-level mathematical language with which one can specify computer vision and image processing transformations and algorithms. It is clear, lucid, and easy to learn and use. Because of their high level of abstraction, image algebra specifications can be directly implemented on a variety of computer architectures. Programs using the iac++ library can be executed efficiently on both sequential and parallel computer architectures without modification. To aid practitioners in formulating algorithms in succinct and precise mathematical language, computer vision methods are presented with clear mathematical specifications. To assist algorithm implementors in developing robust programs, the practical impact of algorithm variants and implementation choices is discussed.
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