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Pose tracking is often referred to as 6DOF tracking, for the six degrees of freedom in which the pose is often tracked. [1] Pose tracking is sometimes referred to as positional tracking, but the two are separate. Pose tracking is different from positional tracking because pose tracking includes orientation whereas and positional tracking does not.
Poses are often stored internally as transformation matrices. [2] [3] The term “pose” is largely synonymous with the term “transform”, but a transform may often include scale, whereas pose does not. [4] [5] In computer vision, the pose of an object is often estimated from camera input by the process of pose estimation. This information ...
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
3D pose estimation is a process of predicting the transformation of an object from a user-defined reference pose, given an image or a 3D scan. It arises in computer vision or robotics where the pose or transformation of an object can be used for alignment of a computer-aided design models, identification, grasping , or manipulation of the object.
A virtual reality headset (or VR headset) is a head-mounted device that uses 3D near-eye displays and positional tracking to provide a virtual reality environment for the user. VR headsets are widely used with VR video games , but they are also used in other applications, including simulators and trainers.
Tracking is a method to build a track from a temporal sequence of data. Tracking applies to concurrent inflow of data. Tracing is a variant applying to any yet existing set of data as a retrospective. Both terms tracking and tracing originate from hunting.
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 .
Commercially, pose estimation has been used in the context of video games, popularized with the Microsoft Kinect sensor (a depth camera). These systems track the user to render their avatar in-game, in addition to performing tasks like gesture recognition to enable the user to interact with the game. As such, this application has a strict real ...