Survey of AR Object Tracking Technology Based on Deep Learning
DOI:
https://doi.org/10.54097/fcis.v4i3.11153Keywords:
Visual Object Tracking, Deep Neural Network, Generative Adversarial NetworksAbstract
Augmented reality (AR) is the process of "augmenting" computer information into the real or physical world. This helps us better understand the process and has numerous application-level AR has an almost unlimited range of applications in today's world, and if implemented, will help solve many complex problems in a simple way. This paper presents a comprehensive survey of the different types of tracking technique. As used to develop object tracking algorithms for AR applications. This paper compares and analyses different types of sensor-based and vision-based tracking technologies, and finally draws conclusions. The mixed use of different types of tracking technologies is one of the best solutions to achieve accurate and powerful tracking to meet the strict requirements of AR applications.
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References
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