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首页Computer_Vision Algorithms and Applications2010 :计算机视觉算法和应用
Computer_Vision Algorithms and Applications2010 :计算机视觉算法和应用
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更新于2023-03-03
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这本书是微软研究院计算机视觉方面的首席教授Richard Szeliski的杰出之作。Richard Szeliski教授就是大名鼎鼎vision.middlebury.edu/stereo (立体视觉算法比较评价平台)的设计者。书中包括了 1. Chapter 2 Image formation 2. Chapter 3 Image processing 3. Chapter 4 Feature detection and matching P1 4. Chapter 6 Feature-based alignment 5. Chapter 9 Image stitching P2 6. Chapter 8 Dense motion estimation 7. Chapter 7 Structure from motion PP 8. Chapter 14 Recognition (9.) Chapter 10 Computational photography 10. Chapter 11 Stereo correspondence (11.) Chapter 12 3D reconstruction 12. Chapter 13 Image-based rendering 13. Final project presentations 等部分。书中指导你去看什么文章和什么网站下载什么资料,而且对目前的相关研究现状也作了分析。该书简直就是一本难得的手册!!!
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ii Computer Vision: Algorithms and Applications (August 18, 2010 draft)
This book is dedicated to my parents,
Zdzisław and Jadwiga,
and my family,
Lyn, Anne, and Stephen.
1 Introduction 1
What is computer vision? • A brief history •
Book overview • Sample syllabus • Notation
n
^
2 Image formation 29
Geometric primitives and transformations •
Photometric image formation •
The digital camera
3 Image processing 99
Point operators • Linear filtering •
More neighborhood operators • Fourier transforms •
Pyramids and wavelets • Geometric transformations •
Global optimization
4 Feature detection and matching 205
Points and patches •
Edges • Lines
5 Segmentation 267
Active contours • Split and merge •
Mean shift and mode finding • Normalized cuts •
Graph cuts and energy-based methods
6 Feature-based alignment 309
2D and 3D feature-based alignment •
Pose estimation •
Geometric intrinsic calibration
7 Structure from motion 343
Triangulation • Two-frame structure from motion •
Factorization • Bundle adjustment •
Constrained structure and motion
8 Dense motion estimation 381
Translational alignment • Parametric motion •
Spline-based motion • Optical flow •
Layered motion
9 Image stitching 427
Motion models • Global alignment •
Compositing
10 Computational photography 467
Photometric calibration • High dynamic range imaging •
Super-resolution and blur removal •
Image matting and compositing •
Texture analysis and synthesis
11 Stereo correspondence 533
Epipolar geometry • Sparse correspondence •
Dense correspondence • Local methods •
Global optimization • Multi-view stereo
12 3D reconstruction 577
Shape from X • Active rangefinding •
Surface representations • Point-based representations •
Volumetric representations • Model-based reconstruction •
Recovering texture maps and albedos
13 Image-based rendering 619
View interpolation • Layered depth images •
Light fields and Lumigraphs • Environment mattes •
Video-based rendering
14 Recognition 655
Object detection • Face recognition •
Instance recognition • Category recognition •
Context and scene understanding •
Recognition databases and test sets
剩余978页未读,继续阅读
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