TY  - BOOK
AU  - Kaehler, Adrian.
AU  - Bradski, Gary.
AU  - Schanafelt, Dawn.,
AU  - Futato, David.,
AU  - Demarest, Rebecca.,
TI  - Learning OpenCV 3: computer vision in C++ with the OpenCV library 
SN  - 9781491937990
AV  - TA 1634 .K34 2017
PY  - 2017///
CY  - Sebastopol, CA
PB  - O'Reilly
KW  - Computación
KW  - Tecnología
KW  - C++ (Lenguaje de programación de computadores)
KW  - OpenCV (Lenguaje de programación de computadores)
N1  - Material de apoyo Departamento de Sistemas y Tecnología; Preface, xv --; 1. Overview, 1 --; 2. Introduction to OpenCV, 21 --; 3. Getting to know OpenCV Data Types, 41 --; 4. Images and Large array types, 71 --; 5. Array operations, 99 --; 6. Drawing and annotating, 157 --; 7. Functors is openCV, 169 --; 8. Image, video, and data files, 183 --; 9. Cross-platform and native windows, 207 --; 10. Filters and convolution, 249 --; 11. General image transforms, 299 --; 12. Image analysis, 335 --; 13. Histograms and templates, 373 --; 14. Contours, 407 --; 15. Background subtraction, 445 --; 16. Keypoints and descriptors, 493 --; 17. Tracking, 587 --; 18. Camera models and calibration, 637 --; 19. Projection and three-dimensional vision, 691 --; 20. The basic of machine learning in OpenCV, 769 --; 21. StatModel: The standard model for learning in OpenCV, 799 --; 22. Object detection, 875 --; 23. Future of OpenCV, 909 --; A. Planar Subdivisions, 923 --; b. OpenCV_contrib, 939 --; C. Calibration patterns, 943 --; Bibliography, 949 --; Index, 967
ER  -