| TSBB02 | Computer Vision, 5 ECTS credits. /Datorseende/ |
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Prel. scheduled
hours: 54 |
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Area of Education: Technology Subject area: Electrical Engineering/Computer Engineering |
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| Advancement level
(A-D): D
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| Aim: The course provides an overview of problems and methods in computer vision and image analysis. The main issues are techniques for representation and processing of structural information and analysis of multi-dimensional signals. The methods can be used in process control and automated inspection. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) TSBB65 Images and graphics TSBB35 Multidimensional signal analysis 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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| Supplementary courses: TSBB50, Image processing, project course TSBB51, Image processing, project cource, CDIO |
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| Organisation: The course includes 10 lectures which both introduce the basic aspects of computer vision and present a number of methods for solving practical problems, e.g., image enhancement. During 7 classroom lessons, the corresponding material is covered in the form of numerical examples and preparations for the computer exercises. The course has 5 computer exercises of 4h each in which the students are given the opportunity to have a closer look at the methods presented in the course. |
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| Course contents: Theory part - Description of different problems in computer vision - Biological vision - Information representation, vectors, tensors - Hierarchical processing systems - Fourier theory for multi-dimensional functions - Quadrature filters, low-level operations - Operations on multi-dimensional data - Image enhancement - Second order operations Laboratory work - Use of software for computer vision - Estimation of motion - Investigation of different operations on images - Image enhancement - Estimation of depth from stereo images |
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| Course literature: Granlund & Knutsson: "Signal Processing for Computer Vision", Kluwer Academic Publishers ISBN 0-7923-9530-1. A collection of examples. A Manual for computer laborations. |
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| Examination: | |||
| Written examination Labratory work |
2 p 1,5 p |
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Course language is Swedish. Department offering the course: ISY. Director of Studies: Klas Nordberg Examiner: Klas Nordberg Link to the course homepage at the department Course Syllabus in Swedish |
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