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Department of Computer Science and Technology

Masters

 

Course pages 2023–24

Advanced Graphics and Image Processing

Principal lecturer: Dr Rafal Mantiuk
Taken by: MPhil ACS, Part III
Code: L352
Term: Michaelmas
Hours: 16 (16hrs lectures)
Format: In-person lectures
Class limit: max. 25 students
Prerequisites: Programming in Python. Transformations using matrices in 2D and 3D. Homogeneous coordinates
Moodle, timetable

Aims

Advanced Graphics covers topics related to rendering. processing, perception and display of images. The focus of the course is on the algorithms behind new emerging display technologies, such as virtual reality, augmented reality, and high dynamic range displays. The course covers three fundamental aspects of a complete graphics pipeline: technology, rendering methods and visual perception.

Lectures

  • Advanced image processing: edge-stopping filters, pyramids, optimization-based image processing.
  • Rendering equation: path tracing, surface reflection
  • Image-based rendering: : light fields, neural radiance fields.
  • Colour: physical and perceptual representation of colour, colour perception, colour spaces.
  • Models of visual perception: brightness perception, detection and discrimination, contrast sensitivity function, contrast constancy,, perceptually uniform spaces, depth perception.
  • Image and video quality assessment: subjective and objective measurement of visual quality
  • High Dynamic Range and tone mapping: dynamic range, display model, methods of tone-mapping.
  • Display technologies: 2D displays, 3D displays, temporal display characteristic, HDR displays.
  • Virtual and Augmented Reality: VR rendering, technology, perceptual considerations.

Recommended reading

Hainich, R. and Bimber, O. (2016) Displays: Fundamentals and Applications. CRC Press (2nd ed.).
Boreskov, A. and Shikin, E. (2013) Computer Graphics: From Pixels to Programmable Graphics Hardware. CRC Press.
Reinhard, E., et. al. (2010) High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann (2nd ed.).

Assessment - Part II Students

  • One practical exercise, worth 30% of the marks.
  • One programming task and presentation, worth 70% of the marks

Assessment - Part III and MPhil students

  • One practical exercise (20%)
  • Mini-project (80%)

Further Information

Current Cambridge undergraduate students who are continuing onto Part III or the MPhil in Advanced Computer Science may only take this module if they did NOT take it as a Unit of Assessment in Part II.

This module is shared with Part II of the Computer Science Tripos. Assessment will be adjusted for the two groups of students to be at an appropriate level for whichever course the student is enrolled on. Further information about assessment and practicals will follow at the first lecture.