opencv扩展包contrib算法简介
An overview of the opencv_contrib modules
- aruco: ArUco and ChArUco Markers — Augmented reality ArUco marker and “ChARUco” markers where ArUco markers embedded inside the white areas of the checker board.
棋盘+ArUco用于摄像机标定
- bgsegm: Background segmentation algorithm combining statistical background image estimation and per-pixel Bayesian segmentation.
前景背景分割
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bioinspired: Biological Vision — Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
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ccalib: Custom Calibration — Patterns for 3D reconstruction, omnidirectional camera calibration, random pattern calibration and multi-camera calibration.
全方位摄像机标定和立体3D重构
- cnn_3dobj: Deep Object Recognition and Pose — Uses Caffe Deep Neural Net library to build, train and test a CNN model of visual object recognition and pose.
CNN的3D姿态估计
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cvv: Computer Vision Debugger — Simple code that you can add to your program that pops up a GUI allowing you to interactively and visually debug computer vision programs.
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datasets: Datasets Reader — Code for reading existing computer vision databases and samples of using the readers to train, test and run using that dataset’s data.
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dnn_objdetect: Object Detection using CNNs — Implements compact CNN Model for object detection. Trained using Caffe but uses opencv_dnn modeule.
CNN目标识别
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dnns_easily_fooled: Subvert DNNs — This code can use the activations in a network to fool the networks into recognizing something else.
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dpm: Deformable Part Model — Felzenszwalb’s Cascade with deformable parts object recognition code.
运动结构
- face: Face Recognition — Face recognition techniques: Eigen, Fisher and Local Binary Pattern Histograms LBPH methods.
人脸识别
- fuzzy: Fuzzy Logic in Vision — Fuzzy logic image transform and inverse; Fuzzy image processing.
模糊处理
- freetype: Drawing text using freetype and harfbuzz.
字体支持
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hdf: Hierarchical Data Storage — This module contains I/O routines for Hierarchical Data Format: https://en.m.wikipedia.org/wiki/Hierarchical_Data_Format meant to store large amounts of data.
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line_descriptor: Line Segment Extract and Match — Methods of extracting, describing and matching line segments using binary descriptors.
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matlab: Matlab Interface — OpenCV Matlab Mex wrapper code generator for certain opencv core modules.
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optflow: Optical Flow — Algorithms for running and evaluating deepflow, simpleflow, sparsetodenseflow and motion templates (silhouette flow).
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ovis: OGRE 3D Visualiser — allows you to render 3D data using the OGRE 3D engine.
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plot: Plotting — The plot module allows you to easily plot data in 1D or 2D.
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reg: Image Registration — Pixels based image registration for precise alignment. Follows the paper “Image Alignment and Stitching: A Tutorial”, by Richard Szeliski.
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rgbd: RGB-Depth Processing module — Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry
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saliency: Saliency API — Where humans would look in a scene. Has routines for static, motion and “objectness” saliency.
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sfm: Structure from Motion — This module contains algorithms to perform 3d reconstruction from 2d images. The core of the module is a light version of Libmv.
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stereo: Stereo Correspondence — Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
立体对应改进
- structured_light: Structured Light Use — How to generate and project gray code patterns and use them to find dense depth in a scene.
结构光系统标定
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surface_matching: Point Pair Features — Implements 3d object detection and localization using multimodal point pair features.
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text: Visual Text Matching — In a visual scene, detect text, segment words and recognise the text.
改进和扩展的场景文本监检测和识别
- tracking: Vision Based Object Tracking — Use and/or evaluate one of 5 different visual object tracking techniques.
使用核相关滤波器进行实时多目标跟踪
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xfeatures2d: Features2D extra — Extra 2D Features Framework containing experimental and non-free 2D feature detector/descriptor algorithms. SURF, BRIEF, Censure, Freak, LUCID, Daisy, Self-similar.
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ximgproc: Extended Image Processing — Structured Forests / Domain Transform Filter / Guided Filter / Adaptive Manifold Filter / Joint Bilateral Filter / Superpixels / Ridge Detection Filter.
边缘感知滤波，SGBM立体算法
- xobjdetect: Boosted 2D Object Detection — Uses a Waldboost cascade and local binary patterns computed as integral features for 2D object detection.
改进的ICF检测器，Waldboost实现
- xphoto: Extra Computational Photography — Additional photo processing algorithms: Color balance / Denoising / Inpainting.
Original: https://blog.csdn.net/huntenganwei/article/details/123893927
Author: huntenganwei
Title: opencv扩展包contrib算法简介
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