Central Library

Optics and artificial vision / (Record no. 82859)

000 -LEADER
fixed length control field 06544nam a2200721 i 4500
001 - CONTROL NUMBER
control field 9780750337076
003 - CONTROL NUMBER IDENTIFIER
control field IOP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230516170246.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211009s2021 enka fob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780750337076
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780750337069
Qualifying information mobi
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780750337052
Qualifying information print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780750337083
Qualifying information myPrint
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1088/978-0-7503-3707-6
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)thg00082643
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
Item number .G666 2021eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code PHJ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI053000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gonz�alez-Acu�ana, Rafael G.,
Relator term author.
9 (RLIN) 70541
245 10 - TITLE STATEMENT
Title Optics and artificial vision /
Statement of responsibility, etc. Rafael G. Gonz�alez-Acu�ana, H�ector A. Chaparro-Romo, Israel Melendez-Montoya.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
Name of producer, publisher, distributor, manufacturer IOP Publishing,
Date of production, publication, distribution, manufacture, or copyright notice [2021]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (various pagings) :
Other physical details illustrations (some color).
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement [IOP release $release]
490 1# - SERIES STATEMENT
Series statement IOP series in emerging technologies in optics and photonics
490 1# - SERIES STATEMENT
Series statement IOP ebooks. [2021 collection]
500 ## - GENERAL NOTE
General note "Version: 202109"--Title page verso.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Optics, sensors and images -- 1.1. Introduction -- 1.2. Optics and images -- 1.3. Vision -- 1.4. Optical instruments and optical design -- 1.5. Cameras -- 1.6. CCD sensor -- 1.7. CMOS sensor -- 1.8. Python as a program language for this book -- 1.9. Artificial vision and computer vision -- 1.10. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Introduction to computer vision -- 2.1. Loading and saving images -- 2.2. Image basics -- 2.3. Colour spaces -- 2.4. Basic image processing -- 2.5. Resizing images -- 2.6. Kernels and morphological operations -- 2.7. Blurring -- 2.8. Thresholding -- 2.9. Gradients and edge detection -- 2.10. Histograms -- 2.11. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Optical flow -- 3.1. Introduction -- 3.2. The Lucas-Kanade algorithm -- 3.3. Application of the Lucas-Kanade algorithm and its Python code -- 3.4. The optical flow model -- 3.5. The Horn-Schunck algorithm -- 3.6. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Object detection algorithms -- 4.1. Object detection -- 4.2. Sliding windows and image pyramids -- 4.3. The histogram of oriented gradients descriptor -- 4.4. Support vector machine -- 4.5. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Image descriptors -- 5.1. Introduction to image descriptors -- 5.2. Basic statistics -- 5.3. Hu moments -- 5.4. Zernike moments -- 5.5. Haralick features -- 5.6. Local binary patterns -- 5.7. Keypoint detectors -- 5.8. Local invariant descriptors -- 5.9. Binary descriptors -- 5.10. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Neural networks -- 6.1. Introduction -- 6.2. Neural networks in a nutshell -- 6.3. Single perceptron learning -- 6.4. Multilayer perceptrons -- 6.5. Convolutional neural networks -- 6.6. Metrics -- 6.7. CNN architectures -- 6.8. Transfer learning -- 6.9. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Optical character recognition -- 7.1. Introduction -- 7.2. Problems in classical OCR -- 7.3. The basic scheme of a classical OCR algorithm -- 7.4. Classical OCR using machine learning -- 7.5. Modern OCR with deep learning -- 7.6. OCR with Tesseract -- 7.7. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8. Facial recognition -- 8.1. Introduction to facial recognition -- 8.2. Local binary patterns for facial recognition -- 8.3. The eigenfaces algorithm -- 8.4. Example using the CALTECH faces dataset -- 8.5. A LBP face recognizer for your own face -- 8.6. Deep learning facial recognition -- 8.7. End notes
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9. Artificial vision case studies -- 9.1. Measuring the camera-object distance -- 9.2. Single image depth estimation -- 9.3. State-of-the-art real-time facial detection -- 9.4. Fruit classification -- 9.5. End notes.
520 3# - SUMMARY, ETC.
Summary, etc. This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Artificial Vision equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Pythonª software to show real, implemented applications in industry. Ideal for industry engineers with projects related to computer vision, as well as a good reference text for academics, students and other researchers working at the intersection of artificial intelligence and optics.
521 ## - TARGET AUDIENCE NOTE
Target audience note Optical engineers, data scientists, AI programmers, academics in optics and in machine learning.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 ## - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical data Rafael G. Gonz�alez-Acu�ana studied a master's degree in optomechatronics at the Optics Research Center, A.C. He is currently studying his PhD at the Tecnol�ogico de Monterrey. Rafael has been awarded the 2019 Optical Design and Engineering Scholarship by SPIE and is the co-author of two IOP books: Analytical lens design and Stigmatic Optics. H�ector A. Chaparro Romo is an electronic engineer from Universidad Autonoma Metropolitana. He is the co-author of the IOP books: Analytical lens design and Stigmatic Optics. Israel Melendez-Montoya is a physicist from Universidad Aut�onoma de Nuevo Le�on with master studies in optics from Tecnol�ogico de Monterrey. Israel has experimented in developing applications connecting optics and computer vision in multiple industrial projects.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on October 9, 2021).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 70542
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Optical physics.
Source of heading or term bicssc
9 (RLIN) 70543
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Optics and photonics.
Source of heading or term bisacsh
9 (RLIN) 18815
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chaparro-Romo, H�ector A.,
Relator term author.
9 (RLIN) 70544
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Melendez-Montoya, Israel,
Relator term author.
9 (RLIN) 70545
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Institute of Physics (Great Britain),
Relator term publisher.
9 (RLIN) 11622
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780750337052
-- 9780750337083
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP (Series).
Name of part/section of a work Release 21.
9 (RLIN) 70546
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP series in emerging technologies in optics and photonics.
9 (RLIN) 70547
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP ebooks.
Name of part/section of a work 2021 collection.
9 (RLIN) 70548
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://iopscience.iop.org/book/978-0-7503-3707-6">https://iopscience.iop.org/book/978-0-7503-3707-6</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks

No items available.