Computer vision algorithms and applications
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...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
London, Heidelberg u.a.
Springer
2011
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| Schriftenreihe: | Texts in computer science
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| Online Zugang: | Inhaltsverzeichnis Inhaltstext Zusammenfassung |
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Tag hinzufügen | Zusammenfassung: | 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. 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. 'Computer Vision' explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging and fun consumer-level tasks such as image editing and stitching |
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| Beschreibung: | Literaturverzeichnis: Seite [691]-792 |
| Beschreibung: | xx, 812 Seiten Illustrationen, Diagramme 286 mm x 220 mm |
| ISBN: | 9781848829343 978-1-84882-934-3 1848829345 1-84882-934-5 |