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Image Sensors, 6 credits
Bildsensorer, 6 hp
TSBB09
Main field of study
Electrical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Klas NordbergDirector of studies or equivalent
Klas NordbergEducation components
Preliminary scheduled hours: 56 hRecommended self-study hours: 104 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Electrical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- 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
- Biomedical Engineering, M Sc in Engineering
- Media Technology and Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
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
Linear algebra: points, lines and planes in two and three dimensions, vector spaces and linear maps. Basic optics (secondary): light spectrum and light refraction in lenses. Multidimensional signal analysis: Projective space and homogeneous representations of 2D and 3D geometry, homografier and kameramatrix, estimation theory. Basic use of Matlab.Intended learning outcomes
After the course the student should be able to design and use systems that include image sensors, for example digital cameras or or other types of image sensors. This means to be able to
- describe the geometric image formation process and electronic measurement process related to various light sensors.
- describe the general design, applications, and limitations or various non-light sensors which produce images.
- solve computational problems which emerge when two or more images of the same scene have to be managed.
Course content
The course is focused on digital cameras (for still and video images) and describes the process which from the light flow into the camera generates pixel values that can be output in the form of an image. This includes optics, geometry, electronics and standards for image transmission. The course also presents special types of cameras such as infra-red cameras, range cameras and magnetic cameras. Finally, the course presents the basic gemetric relations which exist betwen two images of the same scene, so-called epipolar geometry. Main topics of the course are:
- The image formation process of the pinhole camera
- Measurement of the image in digital cameras and video cameras
- Infra-red cameras
- Projective geometry, camera matrix, homographies
- Epipolar geometry
- Camera calibration, lens-effects
- Computer tomography, 3D visualization
- Range cameras
- Extreme cameras
Teaching and working methods
The course has approximately 10 lectures which present theory and basic concepts. A number of problems and general solutions are also presented which later are examined in more detail during practical exercises, some using camera equipment some based on calculations in Matlab.
Examination
| LAB1 | Laboratory work | 3 credits | U, G |
| TEN2 | Written examination | 3 credits | U, 3, 4, 5 |
The written examination is divided into three parts that correspond to the three course objectives, and in order to pass the examination a certain level is required for each of the three parts. A failed examination can be completed if at least two of the parts are passed and if it is done as specified in the current course information.
Some assignments of the laboratory work may include a small written exam that must be passed by the student before the rest of the assignment can be completed.
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Course in computer vision, computer graphics, image coding, and project courses in the image area.
Department
Institutionen för systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Klas NordbergCourse website and other links
https://www.cvl.isy.liu.se/education/undergraduateEducation components
Preliminary scheduled hours: 56 hRecommended self-study hours: 104 h
Course literature
Additional literature
Books
Chapters in textbooks and articles that are provided at course start
Other
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 3 credits | U, G |
| TEN2 | Written examination | 3 credits | U, 3, 4, 5 |
The written examination is divided into three parts that correspond to the three course objectives, and in order to pass the examination a certain level is required for each of the three parts. A failed examination can be completed if at least two of the parts are passed and if it is done as specified in the current course information.
Some assignments of the laboratory work may include a small written exam that must be passed by the student before the rest of the assignment can be completed.
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.
Additional literature
Books
Chapters in textbooks and articles that are provided at course start
Other
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) |
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|
X
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| 1.2 Fundamental engineering knowledge (G1X level) |
|
X
|
X
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TEN2
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
|
X
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TEN2
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
X
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X
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| 2.2 Experimentation, investigation, and knowledge discovery |
|
|
X
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LAB1
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| 2.3 System thinking |
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X
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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LAB1
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| 3.2 Communications |
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
X
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 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 |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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