Learning OpenCV 3 : Computer vision in C++ with the OpenCV library
"Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You'll learn wh...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Livre papier |
| Idioma: | Anglais |
| Publicat: |
Beijing ; Boston ; Farnham [etc.] :
O'Reilly
copyright 2017.
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| Matèries: | |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning OpenCV 3, computer vision in C++ with the OpenCV library, Adrian Kaehler and Gary Bradski, Sebastopol (Calif.), O'Reilly, 2017, 978-1-491-93796-9 |
| LEADER | 02711nam a22002537a 4500 | ||
|---|---|---|---|
| 001 | 617399 | ||
| 008 | 170130t20172017xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN197929419 | ||
| 020 | |a 9781491937990 (br.) | ||
| 024 | |a 9781491937990 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.37 |z fre | ||
| 100 | 1 | |a Kaehler, Adrian. | |
| 245 | 1 | 0 | |a Learning OpenCV 3 : |b Computer vision in C++ with the OpenCV library |c Adrian Kaehler and Gary Bradski. |
| 260 | |a Beijing ; |a Boston ; |a Farnham [etc.] : |b O'Reilly, |c copyright 2017. | ||
| 300 | |a 1 vol. (XXV-990 p.) : |b ill., couv. ill. ; |c 24 cm. | ||
| 504 | |a Bibliogr. p. 949-965. Index | ||
| 505 | 0 | |a 1. Overview -- 2. Introduction to OpenCV -- 3. Getting to know OpenCV data types -- 4. Images and large array types -- 5. Array operations -- 6. Drawing and annotating -- 7. Functors in OpenCV -- 8. Image, video, and data files -- 9. Cross-platform and native windows -- 10. Filters and convolution -- 11. General image transforms -- 12. Image analysis -- 13. Histograms and templates -- 14. Contours -- 15. Background subtraction -- 16. Keypoints and descriptiors -- 17. Tracking -- 18. Camera models and calibration -- 19. Projection and three-dimensional vision -- 20. The basics of machine learning in OpenCV -- 21. StatModel : the standard model for learning in OpenCV -- 22. Object detection -- 23. Future of OpenCV | |
| 520 | |a "Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You'll learn what it takes to build applications that enable computers to "see" and make decisions based on the data. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you've learned. This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision." (source : 4ème de couverture) | ||
| 650 | |a Vision par ordinateur | ||
| 650 | |a C plus-plus (langage de programmation) | ||
| 700 | 1 | |a Bradski, Gary Rost. |4 aut | |
| 776 | 0 | |0 22010350X |t Learning OpenCV 3 |o computer vision in C++ with the OpenCV library |f Adrian Kaehler and Gary Bradski |c Sebastopol (Calif.) |n O'Reilly |d 2017 |z 978-1-491-93796-9 | |
| 997 | |0 617399 |1 Livre papier |a Ressource papier |c 0/Bourges/ |c 1/Bourges/BU/ |z Bourges, BU, 006.3 KAE | ||