| TSBB15 |
Computer Vision, 12 ECTS credits.
/Datorseende/
For:
D
I
Ii
IT
MED
Y
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Exchange students may apply for the course after arrival to the university but before it starts. The international officer for exchange studies must be contacted before applying.
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Prel. scheduled
hours: 96
Rec. self-study hours: 224
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Area of Education: Technology
Main field of studies: Electrical Engineering, Computer Engineering
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Advancement level
(G1, G2, A): A
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Aim:
After having passed this course, the student is expected to be able to describe problems and algorithms for the following basic computer vision and image processing tasks:
- tracking of image regions
- triangulation from stereo images
- estimation of optical flow
- detection of several image features
- matching of image features
- graph and tree structures and other image representations
- generative image models
- segmentation of image regions
- enhancement of images
- debugging and visualisation
- performance evaluation
These are relevant for applications 3D reconstruction, camera pose estimation, object detection, motion estimation, visualization, and quality control within the areas of 3D vision, object tracking, scientific imaging, and industrial imaging.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Projective spaces, homogeneous representations of 2D and 3D geometry, probability theory, estimation theory, the least-squares-method, partial differential equations, frame theory, 1D & 2D linear system theory (deterministic and stochastic). Basic image processing: thresholding, segmentation, edge detection. Use of Matlab.
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Organisation:
The course consists of two parts that are presented in parallel. One part is more theoretical and is based on a larger number of lectures and computer exercises that present and illustrate basic methods in computer vision. This part concludes with a written examination. The other part is more practical and begins with an introduction to two application areas: 3D-reconstruction and tracking of objects in image sequences. After that follows focused work in small projects and with guidance. The course participants are divided into small groups, and each group carries out both these applied projects, which shall demonstrate a number of methods presented in the theoretical part of the course. The results from each project group are presented orally at seminars and are documented in reports. Guidance for the projects is only given during the course semester. Each project is concluded by an analysis and reflection of the project work.
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Course contents:
Computational methods related to the various applications mentioned in the course aims. For each application, a number of standard methods are being presented. Necessary mathematics is being introduced. Alternative methods and related research areas are mentioned.
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Course literature:
R. Szeliski: Computer Vision, Algorithms and Applications
Klas Nordberg: Introduction to Representations and Estimation in Geometry. ISY printed manuscript.
Additional material will be handed out or made available on the course web page.
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Examination: |
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Written examination
Optional written test
Laboratory work
Project assignment
Project assignment
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3 ECTS
0 ECTS
3 ECTS
3 ECTS
3 ECTS
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The course has a written examination that includes the theoretical and method describing part of the course. Each of the project assignments consist of implementation, report writing, and an oral presentation. The projects are graded with 4 if passed directly. If initially failed, they may be passed with grade 3 after meeting the stipulated requirements. Attaining grade 5 for a project requires, beyond this, an individual or group based work as described on the course web page. The course gives a total grade as a weighted average of the grades from the written examination and the two projects. The voluntary mid-term examination includes only the half of the course that has been presented in about half the course period. Passing the mid-term examination gives credit points in the written examination TEN1. A passed mid-term examination is valid one year from the date it was written, and gives credit points in the written examination TEN1. |
Course language is Swedish/English.
Department offering the course: ISY.
Director of Studies: Klas Nordberg
Examiner: Per-Erik Forssén
Link to the course homepage at the department
Course Syllabus in Swedish
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