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Integrated Image and Graphics Technologies

Editat de David D. Zhang, Mohamed Kamel, George Baciu
en Limba Engleză Paperback – 24 mar 2013
Integrated Image and Graphics Technologies attempts to enhance the access points to both introductory and advanced material in this area, and to facilitate the reader with a comprehensive reference for the study of integrated technologies, systems of image and graphics conveniently and effectively. This edited volume will provide a collection of fifteen contributed chapters by experts, containing tutorial articles and new material describing in a unified way, the basic concepts, theories, characteristic features of the technology and the integration of image and graphics technologies, with recent developments and significant applications.
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Specificații

ISBN-13: 9781475784688
ISBN-10: 1475784686
Pagini: 432
Ilustrații: XIV, 416 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.65 kg
Ediția:Softcover Reprint of the Original 1st 2004 edition
Editura: Springer Nature B.V.
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Transforming 3D Mesh Surfaces into Images by Parameterization.- 3D Modeling Based on Attributed Hypergrphs.- Visibility Culling for Interactive Dynamic Scenes.- Image-Based Collision Detection.- Fourier Processing in the Graphics Pipeline.- Transformation Image into Graphics.- An Introduction to Image-Based Rendering.- Image-Based Relighting: Representation and Compression.- Construction of Complex Environments from a Set of Depth Images.- Quadratic Surface Reconstruction from Multiple Views Using SQP.- Photo-Realistic Conversation Agent.- 3D Seismic Volume Visualization.- Graphical Representation of Fingerprint Images.- Image Based Modeling and Analysis of Textile Materials.- Virtual Product Presentation Based on Images and Graphics.- 3D Imaging and Applications.- Range Image Segmentation Using Local Approximation of Scan Lines with Application to CAD Model Acquisition.- Shape-Based Image Retrieval Applied to Trademark Images.- Multi-Resolution Image Registration Using Multi-Class Hausdorff Fraction.