Applying Deep Learning in Augmented Reality Tracking

By Omer Akgul, H. Ibrahim Penekli, Yakup Genç. 2016

30 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Ala Al-Fuqaha
2. Mohsen Guizani

In Computer Vision and Pattern Recognition

1. Jonathan Pedoeem
2. Ala Al-Fuqaha
3. Rachel Huang
4. Mohsen Guizani
5. Sameh Sorour
6. M. Mohammadi
7. Umair Mohammad

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, background): “The latter can be used in this field to provide services such as object tracking [226], activity recognition, image classification, and object recognition [227] to name a few.”
• YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers (2018, background): “An efficient and fast object detection algorithm is key to the success of autonomous vehicles [4], augmented reality devices [5], and other intel-”