Mastering OpenCV 4 :: a comprehensive guide to building computer vision and image processing applications with C++ /
Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in comput...
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| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Ausgabe: | Third edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You'll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You'll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781789539264 1789539269 |
Internformat
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| contents | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ -- Contributors -- Table of Contents -- Preface -- Chapter 1: Cartoonifier and Skin Color Analysis on the RaspberryPi -- Chapter 2: Explore Structure from Motion with the SfM Module -- Chapter 3: Face Landmark and Pose with the Face Module -- Chapter 4: Number Plate Recognition with Deep Convolutional Networks -- Chapter 5: Face Detection and Recognition with the DNN Module -- Chapter 6: Introduction to Web Computer Vision with OpenCV.js -- Chapter 7: Android Camera Calibration and AR Using the ArUco Module -- Chapter 8: iOS Panoramas with the Stitching Module -- Chapter 9: Finding the Best OpenCV Algorithm for the Job -- Chapter 10: Avoiding Common Pitfalls in OpenCV -- Other Books You May Enjoy -- Index. |
| ctrlnum | (OCoLC)1088414309 |
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| dewey-search | 006.37 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Third edition. |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1088414309 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:29:22Z |
| institution | BVB |
| isbn | 9781789539264 1789539269 |
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| spelling | Shilkrot, Roy, author. Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / Roy Shilkrot, David Millán Escrivá. Mastering Open Computer Vision four Third edition. Birmingham, UK : Packt Publishing, 2018. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from title page (Safari, viewed February 22, 2019). Includes bibliographical references. Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ -- Contributors -- Table of Contents -- Preface -- Chapter 1: Cartoonifier and Skin Color Analysis on the RaspberryPi -- Chapter 2: Explore Structure from Motion with the SfM Module -- Chapter 3: Face Landmark and Pose with the Face Module -- Chapter 4: Number Plate Recognition with Deep Convolutional Networks -- Chapter 5: Face Detection and Recognition with the DNN Module -- Chapter 6: Introduction to Web Computer Vision with OpenCV.js -- Chapter 7: Android Camera Calibration and AR Using the ArUco Module -- Chapter 8: iOS Panoramas with the Stitching Module -- Chapter 9: Finding the Best OpenCV Algorithm for the Job -- Chapter 10: Avoiding Common Pitfalls in OpenCV -- Other Books You May Enjoy -- Index. Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You'll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You'll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Web applications. http://id.loc.gov/authorities/subjects/sh2012001728 C++ (Computer program language) http://id.loc.gov/authorities/subjects/sh87007505 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Vision par ordinateur. Applications Web. C++ (Langage de programmation) Logiciels d'application Développement. COMPUTERS General. bisacsh Application software Development fast C++ (Computer program language) fast Computer vision fast Web applications fast Millán Escrivá, David, author. has work: Mastering OpenCV 4 (Text) https://id.oclc.org/worldcat/entity/E39PCG7B9Phr7rqdjVDX9Tdqgq https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1991804 Volltext |
| spellingShingle | Shilkrot, Roy Millán Escrivá, David Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ -- Contributors -- Table of Contents -- Preface -- Chapter 1: Cartoonifier and Skin Color Analysis on the RaspberryPi -- Chapter 2: Explore Structure from Motion with the SfM Module -- Chapter 3: Face Landmark and Pose with the Face Module -- Chapter 4: Number Plate Recognition with Deep Convolutional Networks -- Chapter 5: Face Detection and Recognition with the DNN Module -- Chapter 6: Introduction to Web Computer Vision with OpenCV.js -- Chapter 7: Android Camera Calibration and AR Using the ArUco Module -- Chapter 8: iOS Panoramas with the Stitching Module -- Chapter 9: Finding the Best OpenCV Algorithm for the Job -- Chapter 10: Avoiding Common Pitfalls in OpenCV -- Other Books You May Enjoy -- Index. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Web applications. http://id.loc.gov/authorities/subjects/sh2012001728 C++ (Computer program language) http://id.loc.gov/authorities/subjects/sh87007505 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Vision par ordinateur. Applications Web. C++ (Langage de programmation) Logiciels d'application Développement. COMPUTERS General. bisacsh Application software Development fast C++ (Computer program language) fast Computer vision fast Web applications fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029549 http://id.loc.gov/authorities/subjects/sh2012001728 http://id.loc.gov/authorities/subjects/sh87007505 http://id.loc.gov/authorities/subjects/sh95009362 |
| title | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / |
| title_alt | Mastering Open Computer Vision four |
| title_auth | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / |
| title_exact_search | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / |
| title_full | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / Roy Shilkrot, David Millán Escrivá. |
| title_fullStr | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / Roy Shilkrot, David Millán Escrivá. |
| title_full_unstemmed | Mastering OpenCV 4 : a comprehensive guide to building computer vision and image processing applications with C++ / Roy Shilkrot, David Millán Escrivá. |
| title_short | Mastering OpenCV 4 : |
| title_sort | mastering opencv 4 a comprehensive guide to building computer vision and image processing applications with c |
| title_sub | a comprehensive guide to building computer vision and image processing applications with C++ / |
| topic | Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Web applications. http://id.loc.gov/authorities/subjects/sh2012001728 C++ (Computer program language) http://id.loc.gov/authorities/subjects/sh87007505 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Vision par ordinateur. Applications Web. C++ (Langage de programmation) Logiciels d'application Développement. COMPUTERS General. bisacsh Application software Development fast C++ (Computer program language) fast Computer vision fast Web applications fast |
| topic_facet | Computer vision. Web applications. C++ (Computer program language) Application software Development. Vision par ordinateur. Applications Web. C++ (Langage de programmation) Logiciels d'application Développement. COMPUTERS General. Application software Development Computer vision Web applications |
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