Computer vision and augmented reality in iOS: OpenCV and ARKit applications
Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other pe...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[New York, NY]
Apress
[2022]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484274620/?ar |
| Zusammenfassung: | Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be "memes", short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you'll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. What You'll Learn Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality Who This Book Is For Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift |
| Beschreibung: | Includes index. - Online resource; title from digital title page (viewed on February 01, 2022) |
| Umfang: | 1 Online-Ressource (169 Seiten) |
| ISBN: | 9781484274620 1484274628 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-072484241 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121523.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220112s2022 xx |||||o 00| ||eng c | ||
| 020 | |a 9781484274620 |c electronic bk. |9 978-1-4842-7462-0 | ||
| 020 | |a 1484274628 |c electronic bk. |9 1-4842-7462-8 | ||
| 035 | |a (DE-627-1)072484241 | ||
| 035 | |a (DE-599)KEP072484241 | ||
| 035 | |a (ORHE)9781484274620 | ||
| 035 | |a (DE-627-1)072484241 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a COM051370 |2 bisacsh | |
| 082 | 0 | |a 006.3/7 |2 23 | |
| 100 | 1 | |a Bekhit, Ahmed Fathi |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Computer vision and augmented reality in iOS |b OpenCV and ARKit applications |c Ahmed Fathi Bekhit |
| 264 | 1 | |a [New York, NY] |b Apress |c [2022] | |
| 300 | |a 1 Online-Ressource (169 Seiten) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. - Online resource; title from digital title page (viewed on February 01, 2022) | ||
| 520 | |a Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be "memes", short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you'll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. What You'll Learn Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality Who This Book Is For Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift | ||
| 630 | 2 | 0 | |a iOS (Electronic resource) |
| 650 | 0 | |a Computer vision | |
| 650 | 0 | |a Augmented reality | |
| 650 | 4 | |a iOS (Electronic resource) | |
| 650 | 4 | |a Vision par ordinateur | |
| 650 | 4 | |a Réalité augmentée | |
| 650 | 4 | |a augmented reality | |
| 650 | 4 | |a Augmented reality | |
| 650 | 4 | |a Computer vision | |
| 776 | 1 | |z 9781484274613 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781484274613 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781484274620/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-072484241 |
|---|---|
| _version_ | 1821494826161405952 |
| adam_text | |
| any_adam_object | |
| author | Bekhit, Ahmed Fathi |
| author_facet | Bekhit, Ahmed Fathi |
| author_role | aut |
| author_sort | Bekhit, Ahmed Fathi |
| author_variant | a f b af afb |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)072484241 (DE-599)KEP072484241 (ORHE)9781484274620 |
| dewey-full | 006.3/7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/7 |
| dewey-search | 006.3/7 |
| dewey-sort | 16.3 17 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03439cam a22004932 4500</leader><controlfield tag="001">ZDB-30-ORH-072484241</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121523.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220112s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484274620</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4842-7462-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1484274628</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4842-7462-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)072484241</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP072484241</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781484274620</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)072484241</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051370</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/7</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bekhit, Ahmed Fathi</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computer vision and augmented reality in iOS</subfield><subfield code="b">OpenCV and ARKit applications</subfield><subfield code="c">Ahmed Fathi Bekhit</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[New York, NY]</subfield><subfield code="b">Apress</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (169 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index. - Online resource; title from digital title page (viewed on February 01, 2022)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be "memes", short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you'll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. What You'll Learn Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality Who This Book Is For Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">iOS (Electronic resource)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Augmented reality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">iOS (Electronic resource)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vision par ordinateur</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Réalité augmentée</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">augmented reality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Augmented reality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781484274613</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781484274613</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781484274620/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-072484241 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:20:33Z |
| institution | BVB |
| isbn | 9781484274620 1484274628 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (169 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Apress |
| record_format | marc |
| spelling | Bekhit, Ahmed Fathi VerfasserIn aut Computer vision and augmented reality in iOS OpenCV and ARKit applications Ahmed Fathi Bekhit [New York, NY] Apress [2022] 1 Online-Ressource (169 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from digital title page (viewed on February 01, 2022) Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be "memes", short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you'll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. What You'll Learn Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality Who This Book Is For Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift iOS (Electronic resource) Computer vision Augmented reality Vision par ordinateur Réalité augmentée augmented reality 9781484274613 Erscheint auch als Druck-Ausgabe 9781484274613 |
| spellingShingle | Bekhit, Ahmed Fathi Computer vision and augmented reality in iOS OpenCV and ARKit applications iOS (Electronic resource) Computer vision Augmented reality Vision par ordinateur Réalité augmentée augmented reality |
| title | Computer vision and augmented reality in iOS OpenCV and ARKit applications |
| title_auth | Computer vision and augmented reality in iOS OpenCV and ARKit applications |
| title_exact_search | Computer vision and augmented reality in iOS OpenCV and ARKit applications |
| title_full | Computer vision and augmented reality in iOS OpenCV and ARKit applications Ahmed Fathi Bekhit |
| title_fullStr | Computer vision and augmented reality in iOS OpenCV and ARKit applications Ahmed Fathi Bekhit |
| title_full_unstemmed | Computer vision and augmented reality in iOS OpenCV and ARKit applications Ahmed Fathi Bekhit |
| title_short | Computer vision and augmented reality in iOS |
| title_sort | computer vision and augmented reality in ios opencv and arkit applications |
| title_sub | OpenCV and ARKit applications |
| topic | iOS (Electronic resource) Computer vision Augmented reality Vision par ordinateur Réalité augmentée augmented reality |
| topic_facet | iOS (Electronic resource) Computer vision Augmented reality Vision par ordinateur Réalité augmentée augmented reality |
| work_keys_str_mv | AT bekhitahmedfathi computervisionandaugmentedrealityiniosopencvandarkitapplications |