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Computer vision : algorithms and applications / Richard Szeliski.

By: Szeliski, Richard, 1958-.
Material type: TextTextSeries: Texts in computer science: Publisher: London ; New York : Springer, c2011Description: xx, 812 p. : Rs. 5410.00 ill. (some col.) ; 29 cm.ISBN: 9781848829343 (hbk.); 1848829345 (hbk.).Subject(s): Computer vision | Image processing | Computer algorithms | Bildverarbeitung | Maschinelles SehenDDC classification: 006.37
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.
List(s) this item appears in: Reserved for the semester Jan-Apr 2020. | 2020-02-05
Item type Current location Call number Status Notes Date due Barcode Item holds
Book Chennai Mathematical Institute
General Stacks
006.37 SZE (Browse shelf) Not For Loan Reserved for the semester Jan-Apr 2020. 10764
Total holds: 0

Includes bibliographical references (p. [691]-792) and index.

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.