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Computer vision : algorithms and applications

Computer vision : algorithms and applications (Loan 7 times)

Material type
단행본
Personal Author
Szeliski, Richard, 1958-.
Title Statement
Computer vision : algorithms and applications / Richard Szeliski.
Publication, Distribution, etc
London ;   New York :   Springer,   c2011.  
Physical Medium
xx, 812 p. : ill. (some col.) ; 29 cm.
Series Statement
Texts in computer science
ISBN
9781848829343 (hbk.) 1848829345 (hbk.)
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references (p. [691]-792) and index.
Subject Added Entry-Topical Term
Computer vision. Image processing. Computer algorithms.
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020 ▼a 9781848829343 (hbk.)
020 ▼a 1848829345 (hbk.)
035 ▼a (KERIS)REF000016814376
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090 ▼a 006.37 ▼b S997c
100 1 ▼a Szeliski, Richard, ▼d 1958-.
245 1 0 ▼a Computer vision : ▼b algorithms and applications / ▼c Richard Szeliski.
260 ▼a London ; ▼a New York : ▼b Springer, ▼c c2011.
300 ▼a xx, 812 p. : ▼b ill. (some col.) ; ▼c 29 cm.
490 1 ▼a Texts in computer science
504 ▼a Includes bibliographical references (p. [691]-792) and index.
505 0 0 ▼t Introduction. ▼t What is computer vision? ; ▼t A brief history ; ▼t Book overview ; ▼t Sample syllabus ; ▼t Notation -- ▼t Image formation. ▼t Geometric primitives and transformations ; ▼t Photometric image formation ; ▼t The digital camera -- ▼t Image processing. ▼t Point operators ; ▼t Linear filtering ; ▼t More neighborhood operators ; ▼t Fourier transforms ; ▼t Pyramids and wavelets ; ▼t Geometric transformations ; ▼t Global optimization -- ▼t Feature detection and matching. ▼t Points and patches ; ▼t Edges ; ▼t Lines -- ▼t Segmentation. ▼t Active contours ; ▼t Split and merge ; ▼t Mean shift and mode finding ; ▼t Normalized cuts ; ▼t Graph cuts and energy-based methods -- ▼t Feature-based alignment. ▼t 2D and 3D feature-based alignment ; ▼t Pose estimation ; ▼t Geometric intrinsic calibration -- ▼t Structure from motion. ▼t Triangulation ; ▼t Two-frame structure from motion ; ▼t Factorization ; ▼t Bundle adjustment ; ▼t Constrained structure and motion -- ▼t Dense motion estimation. ▼t Translational alignment ; ▼t Parametric motion ; ▼t Spline-based motion ; ▼t Optical flow ; ▼t Layered motion -- ▼t Image stitching. ▼t Motion models ; ▼t Global alignment ; ▼t Compositing -- ▼t Computational photography. ▼t Photometric calibration ; ▼t High dynamic range imaging ; ▼t Super-resolution and blur removal ; ▼t Image matting and compositing ; ▼t Texture analysis and synthesis -- ▼t Stereo correspondence. ▼t Epipolar geometry ; ▼t Sparse correspondence ; ▼t Dense correspondence ; ▼t Local methods ; ▼t Global optimization ; ▼t Multi-view stereo -- ▼t 3D reconstruction. ▼t Shape from X ; ▼t Active rangefinding ; ▼t Surface representations ; ▼t Point-base representations ; ▼t Volumetric representations ; ▼t Model-based reconstruction ; ▼t Recovering texture maps and albedos -- ▼t Image-based rendering. ▼t View interpolation ; ▼t Layered depth images ; ▼t Light fields and Lumigraphs ; ▼t Environment mattes ; ▼t Video-base rendering -- ▼t Recognition. ▼t Object detection ; ▼t Face recognition ; ▼t Instance recognition ; ▼t Category recognition ; ▼t Context and scene understanding ; ▼t Recognition databases and test sets.
650 0 ▼a Computer vision.
650 0 ▼a Image processing.
650 0 ▼a Computer algorithms.
830 0 ▼a Texts in computer science.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.37 S997c Accession No. 121250337 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Introduction.- Image Formation.- Image Processing.- Feature Detection and Matching.- Segmentation.- Feature-based Alignment.- Structure from Motion.- Dense Motion Estimation.- Image Stitching.- Computational Photography.- Stereo Correspondence.- 3D Reconstruction.- Image-based Rendering.- Recognition.


Information Provided By: : Aladin

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