SMARTPHONE IMAGE PROCESSING IN REAL-TIME
Problem Statement:
Change a real scene for another whose information can be useful to better understand it, can be a very effective tool to monitor a structure. The asset information will be extracted using machine learning algorithms and according to it, the new information will be obtained in real time. For example, imagine focusing on your house with a smartphone, and on the device see how that house was 60 years ago.
Task:
- Applying computer vision algorithms to determine features of structures, mainly bridges.
- Applying image processing algorithms and augmented reality to transform real images in real-time.
Work:
20% Theory, 50% Implementation, 10% Experiment, 20%Writing
Contact:
Aymane Chilah (a.chilah@utwente.nl)