400-004-8861
Modules Students take four modules in Semester 1 (two core and two optional) and four modules in Semester 2 (two core and two optional). Semester 1 Machine Learning (15 credits) Introduction to Computer Vision (15 credits) Plus two options from: Computer Graphics (15 credits) Big Data Processing (15 credits) Data Mining (15 credits) Semester 2 Deep Learning and Computer Vision (15 credits) Machine Learning for Visual Data Analytics (15 credits) Plus two options from: Digital Media and Social Networks (15 credits) Artificial Intelligence (15 credits) Image Processing (15 credits) Semester 3 (must take and pass) Project (60 credits) Below are examples of past MSc projects: Automatic Road Segmentation This project, undertaken by a Yamaha Motors Ltd sponsored student, aimed at the identification of the location of the road on images taken from a moving vehicle. The project was based on machine learning methodologies, more specifically decision forests, for the classification of each local area according to features such as colour and motion. The developed method was tested on publicly available datasets on which it achieved state of the art results. 3D face recostruction from a few images This project, aimed at the 3D reconstruction of a human face from a few images taken from depth-RGB cameras (such as Kinect cameras). It builds on general methodologies for reconstruction of general, rigid 3D objects and improves them by using information about the appearance and structure of the face. The results of face reconstruction can have applications in security (eg, for face recognition) or for face animation.