Course - Appearance, Perception and Measurement - IDIG4003
IDIG4003 - Appearance, Perception and Measurement
About
Examination arrangement
Examination arrangement: Aggregate score
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral exam | 40/100 | 30 minutes | E | |
| Project report | 60/100 |
Course content
Visual appearance is a multifaceted phenomenon that encompasses various percepts. When combined, these percepts convey the properties of a material or scene to an observer. Key attributes of appearance relate to how light interacts with and passes through a material, encompassing elements like color, gloss, translucency, transparency, and spatial texture.
This course is closely aligned with cutting-edge research in these areas, drawing on the expertise of specialist researchers. Its objective is to provide students with both an understanding of current theories and models of appearance, as well as hands-on experience in measuring and modeling specific attributes.
Learning outcome
On completion of this course, the students will possess knowledge in the following areas:
- Visual pathways involved in appearance
- Main attributes of appearance and previous research on the topic
- The specificity of perception to an individual observer and the implications for measurement and modelling
- Appropriate metrology for appearance
- Data on visual appearance through psychophysical experiment
Possess a range of skills including:
- 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
- Analyze the results of psychopysical experiments
Possess general competence, such as:
- The ability to present and discuss the results of their research work to experts and to general public.
- Comprehending and memorizing lectures given by international experts in the field, coming from different disciplines and backgrounds.
- Independently acquiring new knowledge and skills.
Learning methods and activities
Lectures, seminars, lab work, projects
Mandatory activity - Attendance and active participation in the activities are expected from students. In addition, they need to carry out the mandatory lab sessions.
Further on evaluation
Students will complete a coursework projects. Grades will be given on the scale A-F. An interim presentation about the project's progress weights 40%, and the final written report weights 60%. The student must obtain a pass in both elements of assessment in order to complete the course.
There will be a re-sit for the project and the oral exam at the end of February or in March.
Specific conditions
Admission to a programme of study is required:
Applied Computer Science (MACS)
Computational Colour and Spectral Imaging (MSCOSI)
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Gjøvik
- Computer Science
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Project report 60/100 INSPERA
-
Room Building Number of candidates - Autumn ORD Oral exam 40/100 E
-
Room Building Number of candidates - Spring UTS Project report 60/100 INSPERA
-
Room Building Number of candidates - Spring UTS Oral exam 40/100 E
-
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"