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Titlebook: Mastering ARKit; Apple’s Augmented Re Jayven Nhan Book 20221st edition Jayven Nhan 2022 Augmented Reality.AR.ARKit.Apple.Swift.Virtual Real

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發(fā)表于 2025-3-21 19:13:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Mastering ARKit
副標(biāo)題Apple’s Augmented Re
編輯Jayven Nhan
視頻videohttp://file.papertrans.cn/626/625394/625394.mp4
概述Tie your apps to the real world with interactive tools.Implement 3D objects that blend realistically into the world.Enable shared experiences for your app‘s users
圖書(shū)封面Titlebook: Mastering ARKit; Apple’s Augmented Re Jayven Nhan Book 20221st edition Jayven Nhan 2022 Augmented Reality.AR.ARKit.Apple.Swift.Virtual Real
描述Embark on a journey to build an augmented reality world. This book puts theory into practical application by building unique augmented reality? apps specific to each chapter’s topic..You’ll learn to engineer successful, well-designed, and comprehensive augmented reality applications for Apple devices. First, uncover the foundation of augmented reality on Apple platforms. Understand the building blocks and inner workings of the technologies that power augmented reality. Then, learn about building AR apps using ARKit, SceneKit, SpriteKit, RealityKit, and RealityComposer. ? ??.You’ll study augmented reality app business models, designs, and content for the ultimate user experience. Plus, you’ll cover the theories and practicalities of ARKit APIs such as surface detection, working with world maps, body motion capture, face tracking, object scanning and detecting, people occlusion, and more. Chapter by chapter, this book helps you tobecome an advanced augmented reality engineer. ? ?.By the end of the book, you’ll have the necessary mental models and tools to engineer delightful experiences in Apple’s augmented reality platforms.??.What You‘ll Learn.Build AR apps with SceneKit, SpriteKit
出版日期Book 20221st edition
關(guān)鍵詞Augmented Reality; AR; ARKit; Apple; Swift; Virtual Reality; VR; mixed reality; iOS
版次1
doihttps://doi.org/10.1007/978-1-4842-7836-9
isbn_ebook978-1-4842-7836-9
copyrightJayven Nhan 2022
The information of publication is updating

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Jayven Nhanf a Lyapunov controller is addressed, with the synthesis of an adaptive backstepping law that ensures a fine tracking despite some modeling errors and estimates some key uncertain physiological parameters. The design of a nonlinear observer for reconstructing the robot’s unmeasured velocity is also
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Jayven Nhanf a Lyapunov controller is addressed, with the synthesis of an adaptive backstepping law that ensures a fine tracking despite some modeling errors and estimates some key uncertain physiological parameters. The design of a nonlinear observer for reconstructing the robot’s unmeasured velocity is also
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Jayven Nhanf a Lyapunov controller is addressed, with the synthesis of an adaptive backstepping law that ensures a fine tracking despite some modeling errors and estimates some key uncertain physiological parameters. The design of a nonlinear observer for reconstructing the robot’s unmeasured velocity is also
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Jayven Nhanf a Lyapunov controller is addressed, with the synthesis of an adaptive backstepping law that ensures a fine tracking despite some modeling errors and estimates some key uncertain physiological parameters. The design of a nonlinear observer for reconstructing the robot’s unmeasured velocity is also
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Jayven Nhanf a Lyapunov controller is addressed, with the synthesis of an adaptive backstepping law that ensures a fine tracking despite some modeling errors and estimates some key uncertain physiological parameters. The design of a nonlinear observer for reconstructing the robot’s unmeasured velocity is also
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