Computer Vision, 12 credits

Datorseende, 12 hp

TSBB15

The course is disused. Offered for the last time Spring semester 2022. Replaced by TSBB33 och TSBB34.

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Per-Erik Forssén

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 96 h
Recommended self-study hours: 224 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CMED Biomedical Engineering, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CMED Biomedical Engineering, M Sc in Engineering (Biomedical Imaging and Visualization) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2018) 1, 2 1, 3 Swedish/English Linköping, Valla E

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Biomedical Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Computer Science and Engineering, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Information Technology, M Sc in Engineering

Specific information

Exchange students may apply for the course after arrival to LiTH but before it starts. The Faculty coordinators for exchange studies must be contacted before applying.

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

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.

Intended learning outcomes

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
  • structure from motion estimation
  • estimation of optical flow
  • detection and matching of local image features
  • graph and tree structures and other image representations
  • generative image models
  • segmentation of image regions
  • enhancement of images
  • debugging and visualisation
    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.

     

Course content

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.

Teaching and working methods

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.

Examination

PRA2Project Assignment 23 creditsU, 3, 4, 5
PRA1Project Assignment 13 creditsU, 3, 4, 5
LAB1Laboratory Work3 creditsU, G
KTR1Optional Written Test0 creditsU, G
TEN1Written Examination3 creditsU, 3, 4, 5

The course has a written examination that covers theory and methods introduced in the lectures. Each of the two projects requires implementation, report writing, and an oral presentation in order to pass. 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 total course grade is a weighted average of the grades from the written examination and the two projects. The voluntary mid-term examination covers the first half of the course. Passing the mid-term examination gives credit points in the written examination TEN1 and allows the student to skip the first half of the TEN1 exam. A passed mid-term examination is valid one year from the date it was written.

Grades

Four-grade scale, LiU, U, 3, 4, 5

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.

Other information

Supplementary courses: Images and Graphics - Project Course CDIO, Thesis work

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Per-Erik Forssén

Course website and other links

http://www.cvl.isy.liu.se/education/undergraduate/tsbb15

Education components

Preliminary scheduled hours: 96 h
Recommended self-study hours: 224 h

Course literature

Books

  • Richard Szeliski, (2011) Computer Vision: Algorithms and Applications Springer
    ISBN: 978-1-84882-935-0
    http://szeliski.org/Book/

Compendia

  • Klas Nordberg, Introduction to Representations and Estimation in Geometry

Other

  • Additional material will be handed out or made available on the course web page.

Code Name Scope Grading scale
PRA2 Project Assignment 2 3 credits U, 3, 4, 5
PRA1 Project Assignment 1 3 credits U, 3, 4, 5
LAB1 Laboratory Work 3 credits U, G
KTR1 Optional Written Test 0 credits U, G
TEN1 Written Examination 3 credits U, 3, 4, 5

The course has a written examination that covers theory and methods introduced in the lectures. Each of the two projects requires implementation, report writing, and an oral presentation in order to pass. 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 total course grade is a weighted average of the grades from the written examination and the two projects. The voluntary mid-term examination covers the first half of the course. Passing the mid-term examination gives credit points in the written examination TEN1 and allows the student to skip the first half of the TEN1 exam. A passed mid-term examination is valid one year from the date it was written.

Course syllabus

A syllabus has been established for each course. The syllabus specifies the aim and contents of the course, and the prior knowledge that a student must have in order to be able to benefit from the course.

Timetabling

Courses are timetabled after a decision has been made for this course concerning its assignment to a timetable module. A central timetable is not drawn up for courses with fewer than five participants. Most project courses do not have a central timetable.

Interrupting a course

The vice-chancellor’s decision concerning regulations for registration, deregistration and reporting results (Dnr LiU-2015-01241) states that interruptions in study are to be recorded in Ladok. Thus, all students who do not participate in a course for which they have registered must record the interruption, such that the registration on the course can be removed. Deregistration from a course is carried out using a web-based form: www.lith.liu.se/for-studenter/kurskomplettering?l=sv. 

Cancelled courses

Courses with few participants (fewer than 10) may be cancelled or organised in a manner that differs from that stated in the course syllabus. The board of studies is to deliberate and decide whether a course is to be cancelled or changed from the course syllabus. 

Regulations relating to examinations and examiners 

Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622678.

Forms of examination

Examination

Written and oral examinations are held at least three times a year: once immediately after the end of the course, once in August, and once (usually) in one of the re-examination periods. Examinations held at other times are to follow a decision of the board of studies.

Principles for examination scheduling for courses that follow the study periods:

  • courses given in VT1 are examined for the first time in March, with re-examination in June and August
  • courses given in VT2 are examined for the first time in May, with re-examination in August and October
  • courses given in HT1 are examined for the first time in October, with re-examination in January and August
  • courses given in HT2 are examined for the first time in January, with re-examination at Easter and in August.

The examination schedule is based on the structure of timetable modules, but there may be deviations from this, mainly in the case of courses that are studied and examined for several programmes and in lower grades (i.e. 1 and 2). 

  • Examinations for courses that the board of studies has decided are to be held in alternate years are held only three times during the year in which the course is given.
  • Examinations for courses that are cancelled or rescheduled such that they are not given in one or several years are held three times during the year that immediately follows the course, with examination scheduling that corresponds to the scheduling that was in force before the course was cancelled or rescheduled.
  • If teaching is no longer given for a course, three examination occurrences are held during the immediately subsequent year, while examinations are at the same time held for any replacement course that is given, or alternatively in association with other re-examination opportunities. Furthermore, an examination is held on one further occasion during the next subsequent year, unless the board of studies determines otherwise.
  • If a course is given during several periods of the year (for programmes, or on different occasions for different programmes) the board or boards of studies determine together the scheduling and frequency of re-examination occasions.

Registration for examination

In order to take an examination, a student must register in advance at the Student Portal during the registration period, which opens 30 days before the date of the examination and closes 10 days before it. Candidates are informed of the location of the examination by email, four days in advance. Students who have not registered for an examination run the risk of being refused admittance to the examination, if space is not available.

Symbols used in the examination registration system:

  ** denotes that the examination is being given for the penultimate time.

  * denotes that the examination is being given for the last time.

Code of conduct for students during examinations

Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622682.

Retakes for higher grade

Students at the Institute of Technology at LiU have the right to retake written examinations and computer-based examinations in an attempt to achieve a higher grade. This is valid for all examination components with code “TEN” and "DAT". The same right may not be exercised for other examination components, unless otherwise specified in the course syllabus.

Retakes of other forms of examination

Regulations concerning retakes of other forms of examination than written examinations and computer-based examinations are given in the LiU regulations for examinations and examiners, http://styrdokument.liu.se/Regelsamling/VisaBeslut/622678.

Plagiarism

For examinations that involve the writing of reports, in cases in which it can be assumed that the student has had access to other sources (such as during project work, writing essays, etc.), the material submitted must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc. of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations.

A failure to specify such sources may be regarded as attempted deception during examination.

Attempts to cheat

In the event of a suspected attempt by a student to cheat during an examination, or when study performance is to be assessed as specified in Chapter 10 of the Higher Education Ordinance, the examiner is to report this to the disciplinary board of the university. Possible consequences for the student are suspension from study and a formal warning. More information is available at https://www.student.liu.se/studenttjanster/lagar-regler-rattigheter?l=sv.

Grades

The grades that are preferably to be used are Fail (U), Pass (3), Pass not without distinction (4) and Pass with distinction (5). Courses under the auspices of the faculty board of the Faculty of Science and Engineering (Institute of Technology) are to be given special attention in this regard.

  1. Grades U, 3, 4, 5 are to be awarded for courses that have written examinations.
  2. Grades Fail (U) and Pass (G) may be awarded for courses with a large degree of practical components such as laboratory work, project work and group work.

Examination components

  1. Grades U, 3, 4, 5 are to be awarded for written examinations (TEN).
  2. Grades Fail (U) and Pass (G) are to be used for undergraduate projects and other independent work.
  3. Examination components for which the grades Fail (U) and Pass (G) may be awarded are laboratory work (LAB), project work (PRA), preparatory written examination (KTR), oral examination (MUN), computer-based examination (DAT), home assignment (HEM), and assignment (UPG).
  4. Students receive grades either Fail (U) or Pass (G) for other examination components in which the examination criteria are satisfied principally through active attendance such as other examination (ANN), tutorial group (BAS) or examination item (MOM).

The examination results for a student are reported at the relevant department.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Books

Richard Szeliski, (2011) Computer Vision: Algorithms and Applications Springer

ISBN: 978-1-84882-935-0

http://szeliski.org/Book/

Compendia

Klas Nordberg, Introduction to Representations and Estimation in Geometry

Other

Additional material will be handed out or made available on the course web page.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
LAB1
PRA1
PRA2
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
X
LAB1
TEN1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
X
X
PRA1
PRA2
TEN1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
PRA1
PRA2

                            
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1
PRA2

                            
2.3 System thinking
X
X
PRA1
PRA2

                            
2.4 Attitudes, thought, and learning
X
PRA1
PRA2

                            
2.5 Ethics, equity, and other responsibilities
X
PRA1
PRA2

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1
PRA2

                            
3.2 Communications
X
PRA1
PRA2

                            
3.3 Communication in foreign languages
X
PRA1
PRA2

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects
X
PRA1
PRA2

                            

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