|
|
|
|
| LEADER |
00000cam a2200000Ia 4500 |
| 001 |
ocn462920910 |
| 003 |
OCoLC |
| 005 |
20141204201851.0 |
| 008 |
120625s2011 enka b 001 0 eng |
| 010 |
|
|
|a 2010936817
|
| 035 |
|
|
|a (Sirsi) i9781848829343
|
| 040 |
|
|
|a UKM
|b eng
|c UKM
|d DLC
|d UV#
|
| 020 |
|
|
|a 9781848829343
|
| 020 |
|
|
|a 1848829345
|
| 035 |
|
|
|a (OCoLC)462920910
|
| 042 |
|
|
|a lccopycat
|
| 050 |
|
4 |
|a TA1634
|b S93 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 2011.
|
| 300 |
|
|
|a xx, 812 p. :
|b ilustraciones (algunas color) ;
|c 29 cm.
|
| 490 |
1 |
|
|a Texts in computer science
|
| 504 |
|
|
|a Bibliografía: p. [691]-792
|
| 505 |
0 |
0 |
|t Introduction.
|t What is computer vision? ;
|t A brief history ;
|t Book overview ;
|t Sample syllabus ;
|t Notation --
|t Image formation.
|t Geometric primitives and transformations ;
|t Photometric image formation ;
|t The digital camera --
|t Image processing.
|t Point operators ;
|t Linear filtering ;
|t More neighborhood operators ;
|t Fourier transforms ;
|t Pyramids and wavelets ;
|t Geometric transformations ;
|t Global optimization --
|t Feature detection and matching.
|t Points and patches ;
|t Edges ;
|t Lines --
|t Segmentation.
|t Active contours ;
|t Split and merge ;
|t Mean shift and mode finding ;
|t Normalized cuts ;
|t Graph cuts and energy-based methods --
|t Feature-based alignment.
|t 2D and 3D feature-based alignment ;
|t Pose estimation ;
|t Geometric intrinsic calibration --
|t Structure from motion.
|t Triangulation ;
|t Two-frame structure from motion ;
|t Factorization ;
|t Bundle adjustment ;
|t Constrained structure and motion --
|t Dense motion estimation.
|t Translational alignment ;
|t Parametric motion ;
|t Spline-based motion ;
|t Optical flow ;
|t Layered motion --
|t Image stitching.
|t Motion models ;
|t Global alignment ;
|t Compositing --
|t Computational photography.
|t Photometric calibration ;
|t High dynamic range imaging ;
|t Super-resolution and blur removal ;
|t Image matting and compositing ;
|t Texture analysis and synthesis --
|t Stereo correspondence.
|t Epipolar geometry ;
|t Sparse correspondence ;
|t Dense correspondence ;
|t Local methods ;
|t Global optimization ;
|t Multi-view stereo --
|t 3D reconstruction.
|t Shape from X ;
|t Active rangefinding ;
|t Surface representations ;
|t Point-base representations ;
|t Volumetric representations ;
|t Model-based reconstruction ;
|t Recovering texture maps and albedos --
|t Image-based rendering.
|t View interpolation ;
|t Layered depth images ;
|t Light fields and Lumigraphs ;
|t Environment mattes ;
|t Video-base rendering --
|t Recognition.
|t Object detection ;
|t Face recognition ;
|t Instance recognition ;
|t Category recognition ;
|t Context and scene understanding ;
|t Recognition databases and test sets.
|
| 650 |
|
4 |
|a Visión por computadora.
|
| 650 |
|
4 |
|a Procesamiento de imágenes.
|
| 650 |
|
4 |
|a Algoritmos
|x Informatica.
|
| 830 |
|
0 |
|a Texts in computer science.
|
| 901 |
|
|
|a Z0
|b UV#
|
| 596 |
|
|
|a 2
|
| 942 |
|
|
|c LIBRO
|
| 999 |
|
|
|c 257116
|d 257116
|
