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[[Object recognition]] is an important feature in both [[Augmented reality]] and [[virtual reality]]. [[AR]] uses object recognition to deliver contextually aware information and multimedia. In [[VR]], many systems such as [[Chaperone]] of [[SteamVR]] are designed in such a way that they are aware of their surroundings, which is essential for safe operation. As VR and AR technologies become more mainstream, we will see a dramatic improvement in object detection and recognition. These improvements will have to overcome, among many other things, varying lighting conditions, changes in shape and size, and work fast enough to be usable in everyday situations.
[[Object recognition]], as part of [[computer vision]], is an important feature in both [[Augmented reality]] and [[virtual reality]]. [[AR]] uses object recognition to deliver contextually aware information and multimedia. In [[VR]], many systems such as [[Chaperone]] of [[SteamVR]] are designed in such a way that they are aware of their surroundings, which is essential for safe operation. As VR and AR technologies become more mainstream, we will see a dramatic improvement in object recognition. These improvements will have to overcome, among many other things, varying lighting conditions, changes in shape and size, and work fast enough to be usable in everyday situations.


==How does object recognition work?==
==How does object recognition work?==
There are two main methods to conduct object recognition in AR.  Each method contains several different sub-methods. These are appearance-based methods and feature-based methods.  
There are two main methods to conduct object recognition in AR, appearance-based methods and feature-based methods.  Each method contains several different sub-methods.


===Appearance-based methods===
===Appearance-based methods===