| “这本宝库对专业人员来讲非常有用，对初涉这个领域的人们也是个绝好的工具。像其宣传的那样，它是一组计算机视觉算法。” ——William T．Freeman． 麻省理工学院计算机科学与人工智能实验室“《学习0penCV》即将占据每从从事计算机视觉领域的人的书架上最显著的一处。” ——David Lowe，英属哥 |
| 伦比亚大学计算机科学教授Gary Rost BradSki博士，斯坦福大学人工智能实验室的顾问教授，也是Willow Garage公司机器；人学研究协会的资深科学家。Ad rian Kaehler博士，Applied Mind S公司的资深科学家，从事机器学习、统计建模、计算机视觉和机器人学方面的研究。 |
| Preface 1. Overview What Is OpenCV? Who Uses OpenCV? What Is Computer Vision? The Origin of OpenCV Downloading and Installing OpenCV Getting the Latest OpenCV via CVS More OpenCV Documentation OpenCV Structure and Content Portability Exercises 2. Introduction to OpenCV Getting Started First Program--Display a Picture Second Program--AVI Video Moving Around A Simple Transformation A Not-So-Simple Transformation Input from a Camera Writing to an AVI File Onward Exercises 3. Gettingto KnowOpenCV OpenCV Primitive Data Types CvMat Matrix Structure IplImage Data Structure Matrix and Image Operators Drawing Things Data Persistence Integrated Performance Primitives Summary Exercises 4. HighGUI A Portable Graphics Toolkit Creating a Window Loading an Image Displaying Images Working with Video ConvertImage Exercises 5. Image Processing Overview Smoothing Image Morphology Flood Fill Resize Image Pyramids Threshold Exercises 6. Image Transforms Overview Convolution Gradients and Sobel Derivatives Laplace Canny Hough Transforms Remap Stretch, Shrink, Warp, and Rotate CartToPolar and PolarToCart LogPolar Discrete Fourier Transform (DFT) Discrete Cosine Transform (DCT) Integral Images Distance Transform Histogram Equalization Exercises 7. Histograms and Matching Basic Histogram Data Structure Accessing Histograms Basic Manipulations with Histograms Some More Complicated Stuff Exercises 8. Contours Memory Storage Sequences Contour Finding Another Contour Example More to Do with Contours Matching Contours Exercises 9. Image Parts and Segmentation Parts and Segments Background Subtraction Watershed Algorithm Image Repair by Inpainting Mean-Shift Segmentation Delaunay Triangulation, Voronoi Tesselation Exercises 10. Tracking and Motion The Basics of Tracking Corner Finding Subpixel Corners Invariant Features Optical Flow Mean-Shift and Camshift Tracking Motion Templates Estimators The Condensation Algorithm Exercises 11. Camera Models and Calibration Camera Model Calibration Undistortion Putting Calibration All Together Rodrigues Transform Exercises 12. Projection and 3D Vision Projections Affine and Perspective Transformations POSIT: 3D Pose Estimation Stereo Imaging Structure from Motion Fitting Lines in Two and Three Dimensions Exercises 13. Machine Learning What Is Machine Learning Common Routines in the ML Library Mahalanobis Distance K-Means Naive/Normal Bayes Classifier Binary Decision Trees Boosting Random Trees Face Detection or Haar Classifier Other Machine Learning Algorithms Exercises 14. OpenCV's Future Past and Future Directions OpenCV for Artists Afterword Bibliography Index |
内容加载中，请稍后...
商品评论（0条）