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Computer vision : algorithms and applications / Richard Szeliski.

By: Szeliski, Richard, 1958-.
Material type: TextTextSeries: Publisher: London ; New York : Springer, c2011Description: xx, 812 p. : ill. (some col.) ; 29 cm.ISBN: 9781848829343 (hbk.); 1848829345 (hbk.).Subject(s): Computer vision | Image processing | Computer algorithms | Bildverarbeitung | Maschinelles SehenDDC classification: 006.37 Online resources: WorldCat Details | Ebook Fulltext
Contents:
Table of contents Introduction. What is computer vision? ;A brief history ;Book overview ;Sample syllabus ;Notation -- Image formation. Geometric primitives and transformations ;Photometric image formation ;The 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-base rendering -- Recognition. Object detection ;Face recognition ;Instance recognition ;Category recognition ;Context and scene understanding ;Recognition databases and test sets.
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Non-fiction 006.37 SZC 2011 (Browse shelf) Not For Loan
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Includes bibliographical references (p. [691]-792) and index.

Table of contents Introduction. What is computer vision? ;A brief history ;Book overview ;Sample syllabus ;Notation --
Image formation. Geometric primitives and transformations ;Photometric image formation ;The 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-base rendering --
Recognition. Object detection ;Face recognition ;Instance recognition ;Category recognition ;Context and scene understanding ;Recognition databases and test sets.

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