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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 Date due Barcode Item holds
Book Chennai Mathematical Institute
General Stacks 		006.37 SZE (Browse shelf) Available 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.