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Merge pull request #3064 from sturkmen72:patch-2

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Alexander Alekhin
2021-10-13 12:47:41 +00:00
parent edcca752b0 a7b380196f
commit 4ed2c37a04
1 changed files with 26 additions and 2 deletions
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modules/README.md
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@@ -12,6 +12,8 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
- **aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
- **barcode**: Barcode detecting and decoding methods.
- **bgsegm**: Background segmentation algorithm combining statistical background image estimation and per-pixel Bayesian segmentation.
- **bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
@@ -40,6 +42,12 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
- **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.
- **hfs**: Hierarchical Feature Selection for Efficient Image Segmentation -- This module contains an efficient algorithm to segment an image.
- **img_hash**: This module contains algorithms to extract hash of an image allowing to efficiently estimate similarity between images.
- **intensity_transform**: The module brings implementations of intensity transformation algorithms to adjust image contrast.
- **julia**: Julia language wrappers with samples and tests.
- **line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and matching line segments using binary descriptors.
@@ -52,8 +60,14 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
- **ovis**: OGRE 3D Visualiser -- allows you to render 3D data using the OGRE 3D engine.
- **phase_unwrapping**: Quality-guided phase unwrapping.
- **plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
- **quality**: Image Quality Analysis (IQA) API.
- **rapid**: Silhouette based 3D object tracking.
- **reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
- **rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry. 3d reconstruction using KinectFusion.
@@ -62,15 +76,25 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
- **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.
- **shape**: Shape Distance and Matching
- **stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV and dense stereo correspondence using Quasi Dense Stereo method.
- **structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
- **superres**: Super Resolution
- **surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features.
- **text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text.
- **text**: Scene Text Detection and Recognition -- This module contains algorithms to perform text detection, words segmentation and text recognition in a visual scene.
- **tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
- **tracking**: Vision Based Object Tracking -- Use and/or evaluate different visual object tracking techniques.
- **videostab**: Video Stabilization
- **viz**: 3D Visualizer
- **wechat_qrcode**: WeChat QR code detector for detecting and parsing QR code.
- **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.