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-**aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
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-**barcode**: Barcode detecting and decoding methods.
-**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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-**hfs**: Hierarchical Feature Selection for Efficient Image Segmentation -- This module contains an efficient algorithm to segment an image.
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-**img_hash**: This module contains algorithms to extract hash of an image allowing to efficiently estimate similarity between images.
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-**intensity_transform**: The module brings implementations of intensity transformation algorithms to adjust image contrast.
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-**julia**: Julia language wrappers with samples and tests.
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-**line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and matching line segments using binary descriptors.
-**plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
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-**quality**: Image Quality Analysis (IQA) API.
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-**rapid**: Silhouette based 3D object tracking.
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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. 3d reconstruction using KinectFusion.
-**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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-**shape**: Shape Distance and Matching
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-**stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV and dense stereo correspondence using Quasi Dense Stereo method.
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-**structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
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-**superres**: Super Resolution
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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.
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-**text**: Scene Text Detection and Recognition -- This module contains algorithms to perform text detection, words segmentation and text recognition in a visual scene.
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-**tracking**: Vision Based Object Tracking -- Use and/or evaluate different visual object tracking techniques.
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-**videostab**: Video Stabilization
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-**viz**: 3D Visualizer
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-**tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
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-**wechat_qrcode**: WeChat QR code detector for detecting and parsing QR code.
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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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