Написать рефераты, курсовые и дипломы самостоятельно.  Антиплагиат.
Студенточка.ru: на главную страницу. Написать самостоятельно рефераты, курсовые, дипломы  в кратчайшие сроки
Рефераты, курсовые, дипломные работы студентов: научиться писать  самостоятельно.
Контакты Образцы работ Бесплатные материалы
Консультации Специальности Банк рефератов
Карта сайта Статьи Подбор литературы
Научим писать рефераты, курсовые и дипломы.


подбор литературы периодические источники литература по предмету

Learning OpenCV: Computer Vision with the OpenCV Library



Год выпуска: 2008
Автор: Gary Bradski, Adrian Kaehler
Издательство: O'Reilly Media
Страниц: 556
ISBN: 0596516134
Описание
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.


Похожие книги

  1. Virginia?Ferrell Andersen. Digital Recall: Computers Aren't the Only Ones With Memory. – М.: , 0. – 0 с.
  2. William B. Martin. Crisp: Quality Customer Service, Fourth Edition: How to Win with the Customer. – М.: Crisp Learning, 2000. – 120 с.
  3. Sharan Jagpal, with the assistance of Shireen Jagpal. Fusion for Profit: How Marketing and Finance Can Work Together to Create Value. – М.: , 2008. – 664 с.
  4. Christian Warren. Running with the Rhinos: Courageous Leadership for a Complex World. – М.: , 2008. – 273 с.
  5. Gary Bradski, Adrian Kaehler. Learning OpenCV: Computer Vision with the OpenCV Library. – М.: O'Reilly Media, 2008. – 556 с.
  6. The Culinary Institute of America (CIA). Cookies at Home with The Culinary Institute of America. – М.: , 2011. – 224 с.
  7. The Culinary Institute of America. Cooking at Home with The Culinary Institute of America. – М.: , 2003. – 304 с.
  8. Edited by Jack Beatson and Eltjo Schrage, with the collaboration of Mindy Chen-Wishart, Martin Hogg. Cases, Materials and Texts on Unjustified Enrichment. – М.: , 2011. – 640 с.
  9. Edited by Dagmar Schiek, Lisa Waddington and Mark Bell (with the collaboration of Tufyal Choudhury. Cases, Materials and Text on National, Supranational and International Non-Discrimination Law. – М.: , 2011. – 1118 с.
  10. Written, published in conjunction with The Capital Markets Company. Forming the Future of Finance: Mapping Paradigms, Creating Strategies. – М.: , . –  с.
  11. Inc. KT Solutions, KT Solutions has focused on what it takes to create efficient, professional multimedia training t KT Solutions specializes in the development of interactive multimedia training products for computer applications. Over the past decade. Beginning Windows NT Workstation 4.0 (Microsoft Windows NT). – М.: , . –  с.
  12. Inc. KT Solutions, KT Solutions has focused on what it takes to create efficient, professional multimedia training t KT Solutions specializes in the development of interactive multimedia training products for computer applications. Over the past decade. Advanced Word for Office 97 (Microsoft Word 97). – М.: , . –  с.
  13. Solem. Programming Computer Vision with Python. – М.: , 2012. –  с.
  14. Samuel Tuhufo Quagraine. Learning Centre Service Provision in the Public Library of Ghana. – М.: LAP Lambert Academic Publishing, 2012. – 116 с.
  15. Andreas Kalva. Collision detection system using computer vision on low power devices. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
  16. Chutisant Kerdvibulvech. Computer vision and augmented reality. – М.: LAP Lambert Academic Publishing, 2013. – 68 с.
  17. Shifeng CHEN. Labeling Problems with Smoothness-Based Priors in Computer Vision. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.

Образцы работ

Тема и предметТип и объем работы
Разработка нового товара в маркетинге
Маркетинг
Курсовая работа
40 стр.
Негентропия и деградация энергии
Информатика
Реферат
10 стр.
Место экономической безопасности в системе национальной безопасности
Экономическая безопасность
Диплом
93 стр.
Математические модели океанических течений
Переводоведение (теория перевода)
Курсовая работа
42 стр.



Задайте свой вопрос по вашей теме

Гладышева Марина Михайловна

marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.
Контакты
marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.
Поделиться
Мы в социальных сетях
Реклама



Отзывы
Анна
Большое спасибо за все, первоначальный вариант был самым верным. Диплом после вашего сопровождения защищен на четыре.