Livros: "Images 2D"

1

Jones, Alun Gwyn. Recovering 3D shape from 2D images. Manchester: University of Manchester, 1995.

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2

Edexcel, ed. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. London: Edexcel, 2001.

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3

Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.

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Important Information Technology topics are presented: multimedia systems, data-bases, protection of data, access to the content. Particular reference is reserved to digital images (2D, 3D) regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The main parts of the Conference Proceedings regard: Strategic Issues, EC Projects and Related Networks & Initiatives, International Forum on “Culture & Technology”, 2D – 3D Technologies & Applications, Virtual Galleries – Museums and Related Initiatives, Access to the Culture Information. Three Workshops are related to: International Cooperation, Innovation and Enterprise, Creative Industries and Cultural Tourism.

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4

Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Technologies & Applications; New 2D-3D Technical Developments & Applications; Virtual Galleries – Museums and Related Initiatives; Access to the Culture Information. Two Workshops regard: International Cooperation; Innovation and Enterprise.

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5

Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Florence: Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; EC Projects and Related Networks & Initiatives; 2D - 3D Technologies and Applications; Virtual Galleries - Museums and Related Initiatives; Access to the Culture Information. Three Workshops regard: International Cooperation; Innovation and Enterprise; e.Culture Cloud.

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6

Flusser, Jan, Tomáš Suk e Barbara Zitová. 2D and 3D Image Analysis by Moments. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119039402.

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7

Watson, Kenneth. A 2D FFT filtering program for image processing with examples. [Denver, CO]: U.S. Dept. of the Interior, Geological Survey, 1992.

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8

Wosnitza, Matthias Werner. High precision 1024-point FFT processor for 2D object detection. Hartung-Gorre: Konstanz, 1999.

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9

Kumar, Sandeep, Shilpa Rani e K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Editado por Rohit Raja. First edition. | Boca Raton: CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429354526.

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10

Jones, Angie. Thinking animation: Bridging the gap between 2D and CG. Boston, MA: Thomson Course Technology, 2007.

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11

Lee, Wing Kai. The application of 2D and 3D particle image velocimetry (PIV) for measurement in high speed flows. [s.l.]: typescript, 1999.

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12

Coelho, Alessandra Martins. Multimedia Networking and Coding: State-of-the Art Motion Estimation in the Context of 3D TV. Cyprus: INTECH, 2013.

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13

Beolchi, L., e M. H. Kuhn. Medical Imaging: Analysis of Multimodality 2D/3D Images. IOS Press, Incorporated, 1995.

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14

Korites, B. J. Python Graphics: A Reference for Creating 2D and 3D Images. Apress, 2018.

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15

Rhoton, Albert L., Maria Peris-Celda e Francisco Martinez-Soriano. Rhoton's Atlas of Head, Neck, and Brain: 2D and 3D Images. Thieme Medical Publishers, Incorporated, 2017.

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16

Moser, Gabriele, e Josiane Zerubia. Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images. Springer, 2018.

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17

Moser, Gabriele, e Josiane Zerubia. Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images. Springer, 2017.

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18

Beoldri, Kuhn. Medical Imaging, Analysis of Multimodality 2D/3D Images (Studies in Health Technology and Informatics, 19). Ios Pr Inc, 1995.

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19

Fleming, Roland W., e Daniel Holtmann-Rice. “Shape From Smear”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0017.

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Of the many mysteries of sensory perception, one of the greatest is surely our ability to see in three dimensions. While the world is 3D, the retinal images are 2D: So how does the brain work out the extra dimension? Under ordinary conditions, viewing the world with two eyes provides rich sources of information for inferring depths. However, we are also very good at working out 3D shape even from single, static photographs of objects. This chapter presents a novel illusion in which 2D patterns appear vividly 3D, revealing specific image information that the brain uses for inferring 3D shape, based on the way texture appears distorted in the image.

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20

Garbi, Madalina. The general principles of echocardiography. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0001.

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Knowledge of basic ultrasound principles and current echocardiography technology features is essential for image interpretation and for optimal use of equipment during image acquisition and post-processing.Echocardiography uses ultrasound waves to generate images of cardiovascular structures and to display information regarding the blood flow through these structures.The present chapter starts by presenting the physics of ultrasound and the construction and function of instruments. Image formation, optimization, display, presentation, storage, and communication are explained. Advantages and disadvantages of available imaging modes (M-mode, 2D, 3D) are detailed and imaging artefacts are illustrated. The biological effects of ultrasound and the need for quality assurance are discussed.

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21

Thomson-Jones, Katherine. Image in the Making. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197567616.001.0001.

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Human beings have always made images, and to do so they have developed and refined an enormous range of artistic tools and materials. With the development of digital technology, the ways of making images—whether they are still or moving, 2D or 3D—have evolved at an unprecedented rate. At every stage of image making, artists now face a choice between using analog and using digital tools. Yet a digital image need not look digital; and likewise, a handmade image or traditional photograph need not look analog. If we do not see the artist’s choice between the analog and the digital, what difference can this choice make for our appreciation of images in the digital age? Image in the Making answers this question by accounting for the fundamental distinction between the analog and the digital; by explicating the technological realization of this distinction in image-making practice; and by exploring the creative possibilities that are distinctive of the digital. The case is made for a new kind of appreciation in the digital age. In appreciating the images involved in every digital art form—from digital video installation to net art to digital cinema—there is a basic truth that we cannot ignore: the nature and technology of the digital expands both what an image can be as an image and what an image can be for us.

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22

Flusser, Jan, Barbara Zitova e Tomas Suk. 2D and 3D Image Analysis by Moments. Wiley & Sons, Incorporated, John, 2016.

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23

Flusser, Jan, Barbara Zitova e Tomas Suk. 2D and 3D Image Analysis by Moments. Wiley & Sons, Limited, John, 2016.

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24

Flusser, Jan, Barbara Zitova e Tomas Suk. 2D and 3D Image Analysis by Moments. Wiley & Sons, Incorporated, John, 2016.

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25

Flusser, Jan, Barbara Zitova e Tomas Suk. 2D and 3D Image Analysis by Moments. Wiley & Sons, Limited, John, 2016.

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26

Arcand, Kimberly, e Megan Watzke. Stars in Your Hand. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13800.001.0001.

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An illustrated guide to exploring the Universe in three dimensions. Astronomers have made remarkable discoveries about our Universe, despite their reliance on the flat projection, or 2D view, the sky has offered them. But now, drawing on the vast stores of data available from telescopes and observatories on the ground and in space, astronomers can now use visualization tools to explore the cosmos in 3D. In Stars in Your Hand, Kimberly Arcand and Megan Watzke offer an illustrated guide to exploring the Universe in three dimensions, with easy-to-follow instructions for creating models of stars and constellations using a 3D printer and 3D computer imaging. Stars in Your Hand and 3D technology make learning about space an adventure. Intrigued by the stunning images from high-powered telescopes? Using this book, you can fly virtually through a 3D spacescape and hold models of cosmic objects in your hand. Arcand and Watzke outline advances in 3D technology, describe some amazing recent discoveries in astronomy, reacquaint us with the night sky, and provide brief biographies of the telescopes, probes, and rovers that are bringing us so much data. They then offer images and instructions for printing and visualizing stars, nebulae, supernovae, galaxies, and even black holes in 3D. The 3D Universe is a marvel, and Stars in Your Hand serves as a unique and thrilling portal to discovery.

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27

Kumar, Sandeep, Rohit Raja, Shilpa Rani e K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Taylor & Francis Group, 2020.

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28

Kumar, Sandeep, Rohit Raja, Shilpa Rani e K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Taylor & Francis Group, 2020.

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29

Kumar, Sandeep, Rohit Raja, Shilpa Rani e K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Taylor & Francis Group, 2020.

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30

Raja, Rohit. Artificial Intelligence and Machine Learning in 2d/3d Medical Image Processing. Taylor & Francis Group, 2020.

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31

Kumar, Sandeep, Rohit Raja, Shilpa Rani e K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Taylor & Francis Group, 2020.

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32

Maniatis, Lydia M. Symmetry and Uprightness in Visually Perceived Forms. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0023.

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Why do some two-dimensional (2D) drawings look three-dimensional (3D)? The answer is because their projection on our retinas is consistent with a 3D percept that has a “better” shape and orientation than the 2D figure. Whenever a retinal projection is interpreted by the visual system as the projection of a surface that is not frontoparallel (i.e., not parallel to the retinal surface), then the retinal image will differ in shape from the source of the projection in (a) the sizes of its internal angles and/or (b) the relative extents of its surfaces. The latter differences arise because, when an extent is assumed to be receding, then it must also be assumed to have undergone foreshortening in the projection. Using pictures, we can show that the visual system likes more, rather than less, mirror symmetry and a vertical axis of symmetry more than a tilted one.

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33

Ruskin, John. Seven Lamps of Architecture. [2d Ed. ] with an Introd. by Selwyn Image]. Creative Media Partners, LLC, 2021.

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34

Jones, Angie, e Jamie Oliff. Thinking Animation: Computer Graphics Skills for Traditional 2D Artists. Wiley & Sons, Incorporated, John, 2007.

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35

Jones, Angie, e Jamie Oliff. Thinking Animation: Bridging the Gap Between 2D and CG. Course Technology PTR, 2006.

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36

Jones, Angie, e Jamie Oliff. Thinking Animation: Bridging the Path Between 2D And 3D. O'Reilly Media, Incorporated, 2001.

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37

Cline, Lydia Sloan. Architectural Drafting for Interior Design. 3^a ed. Bloomsbury Publishing Plc, 2022. http://dx.doi.org/10.5040/9781501361166.

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While traditional drafting books focus on architectural and engineering readers, the thoroughly updated and revised Architectural Drafting for Interior Design, Third Edition, incorporates material and examples that are meaningful to today’s interior designers. Beginning interior designers will learn how to communicate their ideas graphically with a resource that is designed specifically for them. This book addresses their needs by focusing on topics independent of CAD, such as how to draw a floor plan, how to use it to create an interior elevation, and how to understand the relationship between 2D and 3D drawings. Written with NCIDQ, CIDA and NKBA requirements in mind, this book will provide readers with a strong, standards-based foundation in interior design. New to this Edition: - Enhanced and new worksheets - New design and drafting information, including updated visuals and symbols - Emerging technologies such as photogrammetry and 3D printing STUDIO Features: - Study smarter with self-quizzes featuring scored results and personalized study tips - Review concepts with flashcards of essential vocabulary - Download worksheets and their solutions, to practice your drafting skills Instructor Resources: - The Instructor’s Guide provides suggestions for planning the course and using the text in the classroom, supplemental assignments, grading rubrics, and a CIDA Professional Standards Matrix mapped to the chapters in the book - The Test Bank includes sample test questions for each chapter - PowerPoint® presentations include images from the book and provide a framework for lecture and discussion

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38

Rodrigues, Lawrence H. Building Imaging Applications with Java(TM) Technology: Using AWT Imaging, Java 2D(TM), and Java(TM) Advanced Imaging (JAI). Addison-Wesley Professional, 2001.

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39

Poddar, Deepak Kumar. Efficient SIMD Implementation of 3x3 Non Maxima Suppression of Sparse 2D Image Feature Points: United States Patent 9984305. Independently Published, 2020.

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40

Horing, Norman J. Morgenstern. Random Phase Approximation Plasma Phenomenology, Semiclassical and Hydrodynamic Models; Electrodynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0010.

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Chapter 10 reviews both homogeneous and inhomogeneous quantum plasma dielectric response phenomenology starting with the RPA polarizability ring diagram in terms of thermal Green’s functions, also energy eigenfunctions. The homogeneous dynamic, non-local inverse dielectric screening functions (K) are exhibited for 3D, 2D, and 1D, encompassing the non-local plasmon spectra and static shielding (e.g. Friedel oscillations and Debye-Thomas-Fermi shielding). The role of a quantizing magnetic field in K is reviewed. Analytically simpler models are described: the semiclassical and classical limits and the hydrodynamic model, including surface plasmons. Exchange and correlation energies are discussed. The van der Waals interaction of two neutral polarizable systems (e.g. physisorption) is described by their individual two-particle Green’s functions: It devolves upon the role of the dynamic, non-local plasma image potential due to screening. The inverse dielectric screening function K also plays a central role in energy loss spectroscopy. Chapter 10 introduces electromagnetic dyadic Green’s functions and the inverse dielectric tensor; also the RPA dynamic, non-local conductivity tensor with application to a planar quantum well. Kramers–Krönig relations are discussed. Determination of electromagnetic response of a compound nanostructure system having several nanostructured parts is discussed, with applications to a quantum well in bulk plasma and also to a superlattice, resulting in coupled plasmon spectra and polaritons.

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