Course - Computer Vision - TDT4265
TDT4265 - Computer Vision
About
Examination arrangement
Examination arrangement: Portfolio assessment
Grade: Letters
| Evaluation form | Weighting | Duration | Examination aids | Grade deviation |
|---|---|---|---|---|
| Arbeider | 30/100 | |||
| Skriftlig eksamen | 70/100 | 4 timer |
Course content
Computer vision techniques build the basis for an automatic understanding and interpretation of digital images that today can be recorded with a multitude of different imaging devices (e.g. mobile phones, webcams, 3D depth-images, X-ray, MRI,... ). The course is concerned with extensions of basic image processing methods like image enhancement, feature detection and morphological image operations. Along with other techniques fundamental concepts for shape and region description, segmentation and hierarchical image representations are introduced. Useful for classification and recognition tasks the presented methods are applicable in many related areas like optical flow, stereo vision, industrial inspection, robotics and medical image processing.
Learning outcome
The course provides an overview and understanding of several fundamental techniques in Computer Vision. Advanced knowledge in this field is becoming increasingly more and more important. This is in particular true in view of the ever increasing availability of cameras and other imaging devices in nearly all areas of our society. The course helps to build the skills to design and construct advanced computer vision modules that function within a system to achieve the vision system's goals. Application fields include industrial areas, robotics and medical image processing. The learned subjects can be the basis of employment in industry or the public sector, or could be followed for doctoral research in Norway or overseas.
Learning methods and activities
Lectures and exercises. Lectures will be given in English. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam 70% and exercises 30%. The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. If there is a re-sit examination, the examination form may change from written to oral. The examination papers will be given in English only. Students are free to choose Norwegian or English for written assessments.
Compulsory assignments
- Exercises
Specific conditions
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
TDT4195 Image Processing or equivalent.
Course materials
Book: Digital Image Processing, Rafael C. Gonzalez, Richard E. Woods (Publisher: Pearson)
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| SIF8066 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2016
No.of lecture hours: 2
Lab hours: 2
No.of specialization hours: 8
Language of instruction: English
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- Informatics
- Technological subjects
Examination
Examination arrangement: Portfolio assessment
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
- Spring ORD Arbeider 30/100
-
Room Building Number of candidates - Summer KONT Arbeider 30/100
-
Room Building Number of candidates - Spring ORD Skriftlig eksamen 70/100 2016-06-06 09:00
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Room Building Number of candidates - Summer KONT Muntlig eksamen 70/100 2016-08-15
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"