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一个介绍opencv基础的ppt.pdf

发布时间：2022-06-08 发布人：admin 分类：说明书 资料大小：2.03M 资料格式：pdf 举报 版权申诉
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    Introduction to OpenCV
    Agenda
    General Information
    What is OpenCV?
    Why OpenCV?
    The Project History
    OpenCV Community
    Supported Platforms
    Library Design
    Example: Gesture Recognition
    Library Architecture
    Getting Started with OpenCV
    The First OpenCV Program
    How to build and run the program?
    The Program Analysis Line-by-Line
    Modules Descriptions: HighGUI
    Functionality Overview
    Windows
    Image I/O
    Waiting for keys…
    Trackbars & Mouse Callbacks
    Video I/O API
    Video I/O Sample
    Modules Descriptions: CXCORE
    Functionality Overview
    Matrix (CvMat)
    Image (IplImage)
    Basic operations on Matrixes/Images
    Arithmetical and Logical Operations
    Linear Algebra, Math Functions
    Dynamic Structures (when 2d array is not enough)
    Memory Storages
    Sequences
    Sets and Sparse Matrices
    Drawing Operations
    XML I/O: save your data
    So what about config file?
    Modules Descriptions: CV and CVAUX
    Functionality Overview
    Basic Image Processing: Gaussian Pyramids
    Basic Image Processing: Morphology
    Basic Image Processing: Some other important functions
    Feature Extraction: Canny Edge Detector
    Feature Extraction: Hough Transform
    Advanced Image Processing: Extended Distance Transform and Watershed
    Advanced Image Processing: Inpainting
    Contours
    Motion Analysis and Object Tracking
    Camera Calibration
    Face/Object Detection
    Video Surveillance
    Modules Descrpitions: MLL
    Functionality Overview
    MLL Usage: SVM
    Interaction with IPP
    OpenCV and IPP
    Performance Boost with IPP
    OpenCV + IPP recipe
    Using OpenCV+IPP at Expert Level
    How does it works?
    OpenCV + Python
    Python Interface
    Some Usage Examples
    1. Improving IPP MPEG4 Encoder
    2. Extracting Text from Video
    Summary
    Thank you!
    Introduction to OpenCV Vadim Pisarevsky Senior Software Engineer Intel Corporation, Software and Solutions Group
    Agenda General Information Getting Started with OpenCV Modules Description Interaction with Intel IPP Python Interface Some Usage Examples Summary 2/67
    General Information 3/67
    What is OpenCV? OpenCV stands for Open Source Computer Vision Library Includes over 500 functions implementing computer vision, image processing and general-purpose numeric algorithms. Portable and very efficient (implemented in C/C++) Has BSD-like license (that is, absolutely free for academic and commercial use) Available at http://sourceforge.net/projects/opencvlibrary 4/67
    Why OpenCV? Computer Vision Market is large and continues to grow There is no standard API (like OpenGL and DirectX in graphics, or OpenSSL in cryptography), most of CV software is of 3 kinds: – Research code (slow, unstable, independent/incompatible data types for every library/toolbox) – Very expensive commercial toolkits (like Halcon, MATLAB+Simulink, …) – Specialized solutions bundled with hardware (Video surveillance, Manufacturing control systems, Medical equipment …) Standard library would simplify development of new applications and solutions much easier. Special optimization for Intel Architectures: – Creates new usage models by achieving real-time performance for quite “heavy” algorithms (like face detection) – Makes Intel platforms attractive for CV developers 5/67
    The Project History “CVL” project was started; the main goals/features: • Human-Computer interface is a main target • Real-Time Computer Vision Library for using by UI Developers, Videoconferences, Games • Highly optimized for Intel Arch. First Open Source Release: OpenCV alpha 3 at CVPR’00 OpenCV beta 1 with Linux support: CVPR’01 OpenCV 1.0 with MacOSX support 1999/01 2000/06 2000/12 2006/10 Continuous development and various research projects 6/67
    OpenCV Community The library is actively used by a large number of companies (such as Intel, IBM, Microsoft, SONY, Siemens, Google,…) and research centers (Stanford, MIT, CMU, Cambridge, INRIA etc.) >14000 members of the forum OpenCV@yahoogroups.com, with average daily traffic ~10-20 messages. Community contributes to the project: bug reports, patches, new features (video acquisition, 3d tracking, textures, Python interface) 7/67
    Supported Platforms IA32 (x86) EM64T (x64) IA64 (Itanium) Other (PPC, Sparc) Windows (w. IPP; VS98,VS2005(Op enMP),ICC,GCC, BCC) (w. IPP; GCC, ICC) Linux (w. IPP, VS98+PSDK, VS2005(OpenMP)) Partial Support N/A (w. IPP; GCC, ICC) (GCC, ICC) MacOSX (w. IPP, GCC, native APIs) ? (not tested) N/A (iMac G5, GCC, native APIs) Others (BSD, Solaris…) 8/67 Reported to build on UltraSparc, Solaris
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