颅骨重建板的博士设计：结合工程分析与理解

拉夫堡大学在研究强度（REF2014）方面是英格兰排名前十的大学，并且有资格提交给REF的拉夫堡学术人员中有66％的杰出工作被评为“世界领先”。或“国际一流”，而全国平均水平为43％。<br>在选择拉夫堡进行研究时，您将与该领域的领导者一起工作。您将受益于我们的全面支持和指导，包括量身定制的职业建议，以帮助您在研究和未来职业中取得成功。<br>项目详情：定制的医疗植入物被广泛用于医疗保健领域，例如创伤或肿瘤切除后的颅面重建。这些一次性植入物是为个别患者的需求而设计和制造的。通常，外科医生可以自由设计医疗植
Gaze estimation aims to obtain the direction where you are looking at. It has been actively studied in the past three decades due to its importance in various fields, e.g. human-machine interfaces, human behavior analysis, marketing research, driver safety analysis, cognitive science, and psychology. The recent ten years have seen great performance improvements in gaze estimation methods, however, there is still a huge gap in applying these methods directly into daily webcam-based environments due to the challenges caused by low resolutions, large head movements, eye appearance variations. This project will focus on developing accurate deep learning-based gaze estimation methods to bridge this gap. Different deep learning models like Convolutional Neural Networks, Generative Adversarial Networks will be explored to improve the accuracy of gaze estimation in common human interaction scenarios. This project is meaningful in that not only does it offer you an opportunity to learn state-of-the-art deep learning methods, but it also enables you to develop practical gaze related applications.