Deep Learning Vision Algorithms (33 results)
- Softcover
Seller: CLICKBAYBOOKS, Bloomington, MN, U.S.A.CLICKBAYBOOKS
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Condition: Used - Good. Boom, Brainpower, and Book Smarts! This textbook is in very good condition--gently used with only minor signs of past academic adventures. The pages are crisp, the binding is strong, and it's ready to fuel your next round of genius-level studying.
Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
- Softcover
Seller: Zoom Books Company, Lynden, WA, U.S.A.Zoom Books Company
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
- Hardcover
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Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
- Softcover
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Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 538.
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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£ 97.10
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paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-04 Pages:316 Publisher:Beijing Institute of Technology Press Deep Learning and Computer Vision: Core Algorithms and Applications combines theory with practice. and introduces in detail the commonly used algorithms and models of machine learning and deep learning… and their typical applications in the field of computer vision. For beginners. this book systematically introduces the modeling process and methods from scratch. which can lead them to get star.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
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- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG 2024
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances i…n 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.
Deep Learning For 3d Vision: Algorithms And Applications
Li, Xiaoli (Editor) / Su, Hao (Editor) / Yang, Xulei (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 480 pages. 6.00x1.06x9.00 inches. In Stock.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG 2024
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Hardback. Condition: New. 3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances i…n 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.
Language: English
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Paperback. Pub Date: 2022-01-01 Pages: 189 Language: Chinese Publisher: People's Posts and Telecommunications Press After the introduction. the evolution process of the convolutional neural network structure. as well as the deep learning-based target detection algorithm. image segmentation algorithm. h…uman pose estimation algorithm. pedestrian re-identification and target tracking algorithm. face recognition algorithm and image super-resolution reconstruction method introduced. This book syst.
Published by People Post Press 2022
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Paperback. Pub Date: 2022-01-01 Pages: 189 Language: Chinese Publisher: People's Posts and Telecommunications Press After the introduction. the evolution process of the convolutional neural network structure. as well as the deep learning-based target detection algorithm. image segmentation algorithm. h…uman pose estimation algorithm. pedestrian re-identification and target tracking algorithm. face recognition algorithm and image super-resolution reconstruction method introduced. This book syst.
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-06-01 Publisher: Machinery Industry Press book is divided into four parts: The first part is to prepare papers (Chapters 1 to 2). briefly depth study related basic background knowledge. deep learning framework the development process and the advantages and dis…advantages of MXNet and describing the construction and use of basic development environment docker help readers build the necessary foundation knowledge .
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 538.
- Softcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 538.
More images- Softcover
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Building Computer Vision Projects with OpenCV 4 and C++ | Implement complex computer vision algorithms and explore deep learning and face detection | David Millán Millán Escrivá (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781838644673 | Verantwortliche…Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithmsKey Features: Discover best practices for engineering and maintaining OpenCV…projects Explore important deep learning tools for image classification Understand basic image matrix formats and filtersBook Description:OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation.This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek JoshiWhat You Will Learn: Stay up-to-date with algorithmic design approaches for complex computer vision tasks Work with OpenCV s most up-to-date API through various projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay augmented reality (AR) using the ArUco module Create CMake scripts to compile your C++ application Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and recognize text with TesseractWho this book is for:If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better understand the concepts in this Learning Path.
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Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. DEEP LEARNING FOR 3D VISION | ALGORITHMS AND APPLICATIONS | Li Xiaoli | Buch | Englisch | 2024 | World Scientific | EAN 9789811286483 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Hardcover
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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