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100910s2011 enka b 001 0 eng |
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|a 2010936817
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|a 9781848829343
|q (hbk.)
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|a 1848829345
|q (hbk.)
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|a 9781848829350
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|a 1848829353
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|a (OCoLC)462920910
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|a (OCoLC)ocn462920910
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|a UKM
|c DLC
|d UKM
|d OCLCO
|d IL4J6
|d U@S
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|a lccopycat
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|a U@SA
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|a TA1634
|b .S94 2011
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|a 006.37
|2 22
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| 100 |
1 |
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|a Szeliski, Richard,
|d 1958-
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| 245 |
1 |
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|a Computer vision :
|b algorithms and applications /
|c Richard Szeliski.
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| 260 |
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|a London ;
|a New York :
|b Springer,
|c c2011.
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| 300 |
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|a xx, 812 p. :
|b il. ;
|c 29 cm.
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| 490 |
1 |
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|a Texts in computer science
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| 504 |
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|a Incluye referencias bibliográficas (p. 691-792) e índice.
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|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.
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|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.
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| 650 |
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|a Computer vision.
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| 650 |
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|a Image processing.
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| 650 |
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|a Computer algorithms.
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| 650 |
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7 |
|a Visión por computadora.
|2 UDESA
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| 650 |
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7 |
|a Procesamiento de imágenes.
|2 UDESA
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| 650 |
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7 |
|a Algoritmos computacionales.
|2 UDESA
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| 830 |
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0 |
|a Texts in computer science
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