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Once the real camera position is known a virtual camera can be positioned at the same point and 3D computer graphics models drawn exactly overlaid on the real marker. So ARToolKit solves two of the key problems in Augmented Reality; viewpoint tracking and virtual object interaction.
A library to allow development of marker-based, Natural Feature Tracking and location-based AR applications on the web. It can be used in conjunction with A-Frame (virtual reality framework) or three.js: MindAR: 2021 [19] MIT: A library to allow development of image-tracking and face-tracking types of AR applications on the web.
Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression , augmented reality , traffic control, medical imaging [ 1 ] and video editing .
Motion capture of two pianists' right hands playing the same piece (slow-motion, no-sounds) [1] Two repetitions of a walking sequence recorded using motion capture [2]. Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people.
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).
OpenCV provides a comprehensive set of functions that can support real-time computer vision applications, such as image recognition, motion tracking, and facial detection. [69] Originally developed by Intel , OpenCV has become one of the most popular libraries for computer vision due to its versatility and extensive community support.