1.**opencv_adas**: Advanced Driver Assistance Systems module with Forward Collision Warning.
1.**aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
2.**opencv_bgsegm**: Improved Adaptive Background Mixture Model for Real-time Tracking / Visual Tracking of Human Visitors under Variable-Lighting Conditions.
2.**bgsegm**: Background Segmentation -- Improved Adaptive Background Mixture Model and use for real time human tracking under Variable-Lighting Conditions.
3.**opencv_bioinspired**: Biologically inspired vision models and derivated tools.
3.**bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
4.**opencv_ ccalib**: Custom Calibration Pattern for 3D reconstruction.
4.**ccalib**: Custom Calibration -- Patterns for 3D reconstruction, omnidirectional camera calibration, random pattern calibration and multi-camera calibration.
5.**opencv_cvv**: GUI for Interactive Visual Debugging of Computer Vision Programs.
5.**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.
6.**opencv_datasets**: Interface for interfacing with existing computer vision databases.
6.**contrib_world**: opencv_contrib holder -- contrib_world is the module that when built, contains all other opencv_contrib modules. It may be used for the more convenient redistribution of opencv binaries.
7.**opencv_datasettools**: Tools for working with different datasets.
7.**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.
8.**opencv_face**: Recently added face recognition software which is not yet stabilized.
8.**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.
9.**opencv_latentsvm**: Implementation of the LatentSVM detector algorithm.
9.**dnn**: Deep Neural Networks (DNNs) -- This module can read in image recogniton networks trained in the Caffe neural netowrk library and run them efficiently on CPU.
10.**opencv_line_descriptor**: Binary descriptors for lines extracted from an image.
10.**dnns_easily_fooled**: Subvert DNNs -- This code can use the activations in a network to fool the networks into recognizing something else.
11.**dpm**: Deformable Part Model -- Felzenszwalb's Cascade with deformable parts object recognition code.
12.**opencv_optflow**: Optical Flow Algorithms for tracking points.
12.**face**: Face Recognition -- Face recognition techniques: Eigen, Fisher and Local Binary Pattern Histograms LBPH methods.
13.**opencv_reg**: Image Registration module.
13.**fuzzy**: Fuzzy Logic in Vision -- Fuzzy logic image transform and inverse; Fuzzy image processing.
14.**opencv_rgbd**: RGB-Depth Processing module.
14.**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.
15.**opencv_saliency**: Saliency API, understanding where humans focus given a scene.
15.**line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and latching line segments using binary descriptors.
16.**opencv_surface_matching**: Surface Matching Algorithm Through 3D Features.
16.**matlab**: Matlab Interface -- OpenCV Matlab Mex wrapper code generator for certain opencv core modules.
17.**opencv_text**: Scene Text Detection and Recognition in Natural Scene Images.
17.**optflow**: Optical Flow -- Algorithms for running and evaluating deepflow, simpleflow, sparsetodenseflow and motion templates (silhouette flow).
18.**plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
19.**opencv_xfeatures2d**: Extra 2D Features Framework containing experimental and non-free 2D feature algorithms.
19.**reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
22.**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.
23.**opencv_stereo**: Stereo Correspondence done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
23.**stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
24.**opencv_hdf**: Hierarchical Data Format I/O.
24.**structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
25.**opencv_fuzzy**: New module focused on the fuzzy image processing.
25.**surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features.
26.**text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text.
27.**tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
28.**xfeatures2d**: Features2D extra -- Extra 2D Features Framework containing experimental and non-free 2D feature detector/descriptor algorithms. SURF, SIFT, BRIEF, Censure, Freak, LUCID, Daisy, Self-similar.
30.**xobjdetect**: Boosted 2D Object Detection -- Uses a Waldboost cascade and local binary patterns computed as integral features for 2D object detection.
31.**xphoto**: Extra Computational Photography -- Additional photo processing algorithms: Color balance / Denoising / Inpainting.
