Computer vision : algorithms and applications /
"Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challen...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
London ; New York :
Springer,
c2011.
|
| Colección: | Texts in computer science
|
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- 1. Introduction: What is computer vision? ; A brief history ; Book overview ; Sample syllabus ; Notation
- 2. Image formation: Geometric primitives and transformations ; Photometric image formation ; The digital camera
- 3. Image processing: Point operators ; Linear filtering ; More neighborhood operators ; Fourier transforms ; Pyramids and wavelets ; Geometric transformations ; Global optimization
- 4. Feature detection and matching: Points and patches ; Edges ; Lines
- 5. Segmentation: Active contours ; Split and merge ; Mean shift and mode finding ; Normalized cuts ; Graph cuts and energy-based methods
- 6. Feature-based alignment: 2D and 3D feature-based alignment ; Pose estimation ; Geometric intrinsic calibration
- 7. Structure from motion: Triangulation ; Two-frame structure from motion ; Factorization ; Bundle adjustment ; Constrained structure and motion
- 8. Dense motion estimation: Translational alignment ; Parametric motion ; Spline-based motion ; Optical flow ; Layered motion
- 9. Image stitching: Motion models ; Global alignment ; Compositing
- 10. Computational photography: Photometric calibration ; High dynamic range imaging ; Super-resolution and blur removal ; Image matting and compositing ; Texture analysis and synthesis
- 11. Stereo correspondence: Epipolar geometry ; Sparse correspondence ; Dense correspondence ; Local methods ; Global optimization ; Multi-view stereo
- 12. 3D reconstruction: Shape from X ; Active rangefinding ; Surface representations ; Point-base representations ; Volumetric representations ; Model-based reconstruction ; Recovering texture maps and albedos
- 13. Image-based rendering: View interpolation ; Layered depth images ; Light fields and Lumigraphs ; Environment mattes ; Video-base rendering
- 14. Recognition: Object detection ; Face recognition ; Instance recognition ; Category recognition ; Context and scene understanding ; Recognition databases and test sets.