MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03714cam a22003977i 4500 |
| CONTROL NUMBER |
|---|
| control field |
20044527 |
| DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20190415091520.0 |
| FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
171003s2017 caua b 001 0 eng d |
| LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2016439939 |
| INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352135080 |
| SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn968936315 |
| SOURCE OF ACQUISITION |
|---|
| Source of stock number/acquisition |
Oreilly & Associates Inc, C/O Ingram Pub Services 1 Ingram Blvd, LA Vergne, TN, USA, 37086 |
| Note |
SAN 631-8673 |
| CATALOGING SOURCE |
|---|
| Original cataloging agency |
SXP |
| Language of cataloging |
eng |
| Transcribing agency |
SXP |
| Description conventions |
rda |
| Modifying agency |
SXP |
| -- |
JRZ |
| -- |
OQX |
| -- |
OCLCF |
| -- |
YDX |
| -- |
OCLCQ |
| -- |
CLU |
| -- |
UNBCA |
| -- |
BDX |
| -- |
OCL |
| -- |
SFR |
| -- |
DLC |
| AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TA1634 |
| Item number |
.K34 2017 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.37 |
| Item number |
KAE |
| MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kaehler, Adrian, |
| Relator term |
author. |
| TITLE STATEMENT |
|---|
| Title |
Learning OpenCV 3 : |
| Remainder of title |
computer vision in C++ with the OpenCV library / |
| Statement of responsibility, etc |
Adrian Kaehler and Gary Bradski. |
| VARYING FORM OF TITLE |
|---|
| Title proper/short title |
OpenCV |
| VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Computer vision in C++ with the OpenCV library |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Mumbai : |
| Name of publisher, distributor, etc |
O'Reilly, |
| -- |
Shroff Publishers & Distributors, |
| Date of publication, distribution, etc |
2018. |
| PHYSICAL DESCRIPTION |
|---|
| Extent |
xxv, 990 p. : |
| Other physical details |
ill.; |
| Dimensions |
24 cm |
| BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (pages 949-965) and index. |
| FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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 Descriptors -- 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 -- A. Planar Subdivisions -- B. opencv_contrib -- C. Calibration Patterns. |
| SUMMARY, ETC. |
|---|
| Summary, etc |
"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface. |
| SUMMARY, ETC. |
|---|
| Summary, etc |
"Get started in the rapidly expanding field of computer vision with this practical guide ... 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 that 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. Learn OpenCV data types, array types, and array operations. Capture and store still and video images with HighGUI. Transform images to stretch, shrink, warp, remap, and repair. Explore pattern recognition, including face detection. Track objects and motion through the visual field. Reconstruct 3D images from stereo vision. Discover basic and advanced machine learning techniques in OpenCV."--Publisher's website. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer vision. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer vision |
| General subdivision |
Computer programs. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
C++ (Computer program language) |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
OpenCV (Computer program language) |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Image processing |
| General subdivision |
Digital techniques. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Image analysis. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Open source software. |
| ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bradski, Gary R., |
| Relator term |
author. |
| ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
