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 |
| LEADER | 04330cam a2200385 a 4500 | ||
|---|---|---|---|
| 001 | 99880631504151 | ||
| 005 | 20241030105328.0 | ||
| 008 | 100910s2011 enka b 001 0 eng | ||
| 010 | |a 2010936817 | ||
| 020 | |a 9781848829343 |q (hbk.) | ||
| 020 | |a 1848829345 |q (hbk.) | ||
| 020 | |a 9781848829350 | ||
| 020 | |a 1848829353 | ||
| 035 | |a (OCoLC)462920910 | ||
| 035 | |a (OCoLC)ocn462920910 | ||
| 040 | |a UKM |c DLC |d UKM |d OCLCO |d IL4J6 |d U@S | ||
| 042 | |a lccopycat | ||
| 049 | |a U@SA | ||
| 050 | 0 | 0 | |a TA1634 |b .S94 2011 |
| 082 | 0 | 4 | |a 006.37 |2 22 |
| 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 il. ; |c 29 cm. | ||
| 490 | 1 | |a Texts in computer science | |
| 504 | |a Incluye referencias bibliográficas (p. 691-792) e índice. | ||
| 505 | 0 | |a 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. | |
| 520 | |a "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 challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications 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 for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques." --Descripción del editor. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 7 | |a Visión por computadora. |2 UDESA | |
| 650 | 7 | |a Procesamiento de imágenes. |2 UDESA | |
| 650 | 7 | |a Algoritmos computacionales. |2 UDESA | |
| 830 | 0 | |a Texts in computer science | |