Course - Appearance, Perception and Measurement - IDIG4003
IDIG4003 - Appearance, Perception and Measurement
Lessons are not given in the academic year 2020/2021
Visual appearance is a complex phenomenon that integrates different percepts which, when combined, signal the properties and affordances of a material or of a scene to the observer. The principal attributes of appearance relate to the passage of light from and through the material these include colour, gloss, translucency, transparency and spatial non-uniformity (or texture). The course is strongly linked to current research on these topics, with input from specialist researchers, and it aims to give the student both an insight into current theories and models of appearance, and experience in measuring and modelling specific attributes. It also aims to introduce the concept of total appearance and understand the way that different appearance attributes contribute to it.
Describe the visual pathways involved in appearance
Identify the main attributes of appearance and review previous research on the topic
Discuss the specificity of perception to an individual observer and the implications for measurement and modelling
Demonstrate a knowledge of appropriate metrology for appearance
Describe methods of obtaining data on visual appearance through psychophysical experiment
Design and conduct experiments in appearance research
Prepare samples for appearance research
Generate and test models of appearance attributes
Apply appearance models to measurement data in order to predict appearance phenomena
Propose designs for novel instruments for appearance measurement
Measure and predict differences in appearance attributes
Analyse the results of psychopysical experiments
Evaluate previous research on appearance and describe how the students results fit with such work
Contribute to the state of the art in appearance research
Present results to a specialist audience
Learning methods and activities
Lectures, seminars, lab work, projects
Students shall participate in introductory seminar and in seminars where they present their own project work and discuss the work presented by others. In addition, they need to carry out the mandatory lab sessions.
Further on evaluation
Students will complete two coursework projects, weighted 40% and 60% respectively. Grades will be given on the scale A-F. The student must obtain a pass in both elements of assessment in order to complete the course.
For the 40% project, the grade will be based on a presentation and a written report. For the 60%, the grade will be based solely on the written report.
Admission to a programme of study is required:
Computational Colour and Spectral Imaging (MSCOSI)
Credits: 7.5 SP
Study level: Second degree level
Language of instruction: English
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"