{"product_id":"opencv-computer-vision-application-programming-cookbook-practical-c","title":"OpenCV Computer Vision Application Programming Cookbook - Practical C","description":"\u003cp\u003eIn this review of OpenCV Computer Vision Application Programming Cookbook, 2nd Edition the bottom line is straightforward: this is a hands-on recipe book for developers who want to build practical computer vision applications in C++ using the OpenCV library. The author presents over 50 focused examples that walk through image processing and vision algorithms on real images, making it valuable for novices moving beyond theory into functioning code. For readers seeking step-by-step, example-driven learning of OpenCV 3 classes and functions, this book delivers clear, usable patterns and reproducible results.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical recipes:\u003c\/strong\u003e Each recipe provides a complete working example so readers can copy, run, and adapt code to real images and tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFocus on OpenCV 3:\u003c\/strong\u003e The book emphasizes the important classes and functions of OpenCV 3, helping developers understand the library's API in a current context.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eC++ implementation:\u003c\/strong\u003e Examples are implemented in C++, which benefits readers who want performance and integration with existing C++ projects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImage processing fundamentals:\u003c\/strong\u003e Core computer vision and image processing concepts are explained alongside code, clarifying why techniques work and when to use them.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCourse companion suitability:\u003c\/strong\u003e The book can be used alongside university-level computer vision courses as a practical lab resource with runnable examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThe Cookbook is best suited to novice C++ programmers and software developers who already know basic programming and want to learn practical computer vision by example; the emphasis on runnable code makes it ideal for learners who prefer doing rather than reading dense theory. It also fits as a companion for students in university computer vision courses who need concrete application examples to reinforce class material.\u003c\/p\u003e\n\u003cp\u003eDevelopers who require the very latest OpenCV 4+ features or who prefer Python-first tutorials may want to look elsewhere, since the book centers on OpenCV 3 and C++ implementations rather than Python bindings or cutting-edge releases.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eClear, working C++ examples that make it straightforward to reproduce results on sample images.\u003c\/li\u003e\n\u003cli\u003eGood coverage of fundamental image processing and vision techniques tied to OpenCV classes and functions.\u003c\/li\u003e\n\u003cli\u003eSuitable as a practical lab companion for coursework or self-study projects.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFocus is on OpenCV 3 and C++, so readers seeking Python examples or the newest OpenCV features will find limited coverage.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eOpenCV Computer Vision Application Programming Cookbook, 2nd Edition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eRobert Laganiere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary language\u003c\/td\u003e\n\u003ctd\u003eEnglish (C++ examples)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContent format\u003c\/td\u003e\n\u003ctd\u003eOver 50 practical recipes with complete working examples\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLibrary focus\u003c\/td\u003e\n\u003ctd\u003eOpenCV 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eNovice C++ programmers and professional developers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eFor C++ programmers who want to move quickly from concept to working computer vision programs, this cookbook is a strong, practical value: the cookbook style and runnable examples make learning OpenCV concrete and usable. Those who need Python-first tutorials or the absolute newest OpenCV release should supplement this with more current or language-specific resources.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the book include runnable code?\u003c\/strong\u003e\u003cbr\u003eYes, the book contains complete working C++ examples for over 50 recipes that can be run on real images.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs it suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eYes, it is appropriate for novice C++ programmers who want practical, example-driven learning of computer vision concepts.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhich OpenCV version does it target?\u003c\/strong\u003e\u003cbr\u003eThe material focuses on OpenCV 3 and its important classes and functions.\u003c\/p\u003e","brand":"Robert Laganiere","offers":[{"title":"Default Title","offer_id":48657366745307,"sku":"1782161481","price":48.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/71HkR0VMxuL._SL1360.jpg?v=1778605345","url":"https:\/\/gearmusthave.com\/products\/opencv-computer-vision-application-programming-cookbook-practical-c","provider":"GearMustHave","version":"1.0","type":"link"}