Course - Appearance, Perception and Measurement - IDIG4003
IDIG4003 - Appearance, Perception and Measurement
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.
Knowledge 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
Skills 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
General competences 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
Mandatory activity 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.
There will be a re-sit for the project at the end of February or in March.
Admission to a programme of study is required:
Applied Computer Science (MACS)
Computational Colour and Spectral Imaging (MSCOSI)
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2022
Language of instruction: English
- Computer Science
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Room Building Number of candidates
Room Building Number of candidates
- * 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"