Yirui Jiang completed her BSc in Software Engineering, as well as minor in Computer Vision and Machine Learning. She moves on to complete her PhD in Design at Cranfield University, and focuses on "Application of Computer Vision and Machine Learning for spatially accurate object representation in AR/VR ".
AR and VR are areas of exponential growth yet builds upon the foundation of CV and ML. Therefore, the purpose of this research is to combine existing understanding of CV and ML with gained insights in AR/VR. This research mainly focus on tracking/localization and mapping/camera pose estimation/SLAM and anything related to the location, positioning, and mapping of the real-world environment necessary to deliver rich VR/AR experiences on mobile and hardware devices. The study of combining CV and ML with AR/VR offers advantages such as significant runtime savings and makes the system suitable for real-time operation. More importantly it improves the possibility to obtain accurate visual localization and better occlusion relationship between virtual objects and real objects.
Yirui Jiang is carrying out her PhD research within Cranfield Water Science Institute and the Centre for Competitive Creative Design (C4D). Her PhD research focuses on "Application of Computer Vision and Machine Learning for spatially accurate object representation in AR/VR ".