Current active course description (last updated 2026/27)
Intermediate Compositing
CGA2014
Current active course description (last updated 2026/27)
Intermediate Compositing
CGA2014
This intermediate course explores techniques of digital compositing including camera tracking, digital makeup, rotoscoping, keying, object removal and clean plate separation.
This course will cover a range of techniques for post-production with a focus on the film industry. Students will learn how to create 2D and 3D effects and composite them with live-action footage. Throughout the course, we will discuss the industry pipeline and the importance of an organized workflow. You will use both manual rotoscoping and machine learning techniques to create mattes, looking into different keying techniques and correcting artefacts such as green spill for effectively compositing foreground and background elements. You will track a camera, creating a representation in 3D space, and remove a section of footage to replace with a 3D CG element and overlay 2D elements such as digital makeup. We will also look into compositing for visual effects, such as fire and rain, so that it integrates seamlessly with live-action footage. For each of your sequences, you will do breakdown reels showing before and after which is an important part of a showreel for future employability.
CGA1006 Compositing Fundamentals
CGA1006 Compositing Fundamentals
On successful completion of the course, students should be able to:
Knowledge
- demonstrate the key elements involved in a VFX pipeline and workflow through practical production
Skills
- plan and organise image acquisition and digital integration
- get satisfactory results from professional composting tool sets
General Competence
- solve common composting problems using industry tools
None
Elective
Evaluation using mid-term or final surveys. Students are also encouraged to participate in the central quality surveys.
Portfolio (MA) - Individual (100/100)
Graded: A-F
Generating responses using ChatGPT or similar generative artificial intelligence and submitting them wholly or partially as your own work is considered plagiarism.