TY  - BOOK
AU  - Szeliski,Richard
TI  - Computer vision: algorithms and applications 
T2  - Texts in computer science
SN  - 9781848829343 (hbk.)
U1  - 006.37 22
PY  - 2011///
CY  - London, New York
PB  - Springer
KW  - Computer vision
KW  - Image processing
KW  - Computer algorithms
KW  - Bildverarbeitung
KW  - swd
KW  - Maschinelles Sehen
N1  - 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
ER  -