Computer vision : algorithms and applications /

书目详细资料
主要作者: Szeliski, Richard 1958-
格式: 图书
语言:English
出版: London : New York : Springer, c2011
丛编:Texts in computer science.
主题:
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100 1 |a Szeliski, Richard  |d 1958-  |9 25576 
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 pages :  |b illustrations(some color) ;  |c 29 cm. 
490 1 |a Texts in computer science 
504 |a Includes bibliographical references (pages [691]-792) and index. 
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. 
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