MEng Computer Science with Industrial Experience / Course details
Year of entry: 2021
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Course unit details:
Advanced Computer Graphics
|Unit level||Level 3|
|Teaching period(s)||Semester 1|
|Offered by||Department of Computer Science|
|Available as a free choice unit?||Yes|
|Unit title||Unit code||Requirement type||Description|
|Introduction to Visual Computing||COMP27112||Pre-Requisite||Compulsory|
This Course Unit covers the principles of modern techniques for Computer Graphics modelling and image synthesis, on the assumption that students have already completed the introductory Computer Graphics course (COMP27112). Its principal aim is to introduce students to the ever-expanding repertoire of techniques for defining and rendering images of 3D model data. Particular attention is focussed on the increasing requirements for complex rendering and interaction to occur in real-time.
be able to analyse requirements of 3D modelling problems and select appropriate combinations of modelling techniques
be able to describe and compare CAD, Generative and Captured approaches to creating 3D models with respect to their fidelity and time/space constraints
be able to describe how the rendering equation acts as a mathematical representation of illumination in the real world
be able to compare different computational approximations to the rendering equation with respect to their visual fidelity and computational complexity
be able to analyse rendering problems to create novel solutions by combining or modifying existing computational approximations
Introduction and overview (1)
Introduction to the course and to the laboratory project. Applications of modelling techniques and image synthesis.
Non-polygonal modelling techniques (1)
Procedural modelling: fractal geometry, modelling with fractals, particle systems, L-systems.
Model acquisition (3)
Laser scanning; surface fitting; occlusions and hole-filling; acquisition of geometry from photographs and video.
The Rendering Equation and Ray-tracing (1)
The Rendering Equation, basic ray tracing, primary and secondary rays, shadow feeler rays, reflection and transparency. Real-time ray tracing.
Monte Carlo ray tracing. Importance sampling, variance reduction methods. Path tracing, bidirectional ray tracing.
Global illumination: Radiosity (1)
Principles: energy exchange between surfaces, implementation approaches, rendering techniques.
Volume rendering (1)
Spatial Enumeration and culling (2)
Spatial enumeration, grids, AABBs, HBBs. Level of detail.Examples of model complexity, the need for interaction. Culling techniques:
back-face, view frustum, portals, occlusion culling.
Teaching and learning methods
11 in total, 1 per week
There will be one lab exercise programming project.
- Analytical skills
- Project management
- Problem solving
|Practical skills assessment||30%|
COMP37111 reading list can be found on the Department of Computer Science website for current students.
|Scheduled activity hours|
|Independent study hours|
|Stephen Pettifer||Unit coordinator|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.