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Computer vision algorithms and applications
Richard Szeliski 1958-
London Springer New York 2011
Localização:
ICMC - Inst. Ciên. Mat. Computação
(68U15.05 S997cv e.3 )
e outros locais
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Título:
Computer vision algorithms and applications
Autor:
Richard Szeliski 1958-
Assuntos:
Computer vision
;
Image processing
;
Computer algorithms
;
Bildverarbeitung
;
Maschinelles Sehen
;
VISÃO COMPUTACIONAL
;
VISUALIZAÇÃO
;
ALGORITMOS PARA IMAGENS
;
Computer vision
Notas:
Includes bibliographical references (p. [691]-792) and index
Descrição:
Introduction What is computer vision? brief history Book overview Sample syllabus Notation -- Image formation Geometric primitives and transformations Photometric image formation digital camera -- Image processing Point operators Linear filtering More neighborhood operators Fourier transforms Pyramids and wavelets Geometric transformations Global optimization -- Feature detection and matching Points and patches Edges Lines -- Segmentation Active contours Split and merge Mean shift and mode finding Normalized cuts Graph cuts and energy-based methods -- Feature-based alignment 2D and 3D feature-based alignment Pose estimation Geometric intrinsic calibration -- Structure from motion Triangulation Two-frame structure from motion Factorization Bundle adjustment Constrained structure and motion -- Dense motion estimation Translational alignment Parametric motion Spline-based motion Optical flow Layered motion -- Image stitching Motion models Global alignment Compositing -- Computational photography Photometric calibration High dynamic range imaging Super-resolution and blur removal Image matting and compositing Texture analysis and synthesis -- Stereo correspondence Epipolar geometry Sparse correspondence Dense correspondence Local methods Global optimization Multi-view stereo -- 3D reconstruction Shape from X Active rangefinding Surface representations Point-base representations Volumetric representations Model-based reconstruction Recovering texture maps and albedos -- Image-based rendering View interpolation Layered depth images Light fields and lumigraphs Environment mattes Video-based rendering -- Recognition Object detection Face recognition Instance recognition ;$
'Computer Vision' explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging and fun consumer-level tasks such as image editing and stitching
Títulos relacionados:
Série:Texts in computer science
Editor:
London Springer New York
Data de criação/publicação:
2011
Formato:
xx, 812 p. ill. (some col.) 29 cm.
Idioma:
Inglês
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