Isbn: 9781333492663 - the viewpoint consistency constraint (classic reprint) (3 risultati)

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  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333492669 / 9781333492663

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 24,17

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    Spedito in U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333492669 / 9781333492663

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 24,15

    EUR 3,83 spedizione 
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    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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    Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333492669 / 9781333492663

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    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

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    Condizione: Nuovo

    EUR 15,16

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    Quantità: Più di 20 disponibili

    Paperback. Condizione: New. Print on Demand. This book explores the concept of viewpoint consistency constraint in the field of computer vision. The viewpoint consistency constraint emphasizes the need for spatial correspondence between the 2D image and the 3D object model. Through the application of this constraint, the author argues that computational models can achieve robust 3D object recognition from single gray-scale images. The book delves into the history of the viewpoint consistency constraint, tracing its evolution from early attempts in the field of robotics to its current applications in model-based recognition. The author provides a detailed examination of various techniques for applying the constraint, including methods for solving viewpoint parameters and extending preliminary matches. This book is a valuable resource for computer vision researchers and practitioners interested in model-based recognition. It offers a comprehensive overview of the viewpoint consistency constraint, along with practical techniques for its implementation. The author's insights will help shape the future of computer vision research, enabling more accurate and robust object recognition. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.