Course Manual AKAT
Project Camera Technology Applications
PDF Course Catalog Deutsche Version: AKAT
Version: 2 | Last Change: 01.12.2019 22:13 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
| Long name | Project Camera Technology Applications |
|---|---|
| Approving CModule | AKAT_BaMT |
| Responsible |
Prof. Dr. Gregor Fischer
Professor Fakultät IME |
| Valid from | summer semester 2023 |
| Level | Bachelor |
| Semester in the year | summer semester |
| Duration | Semester |
| Hours in self-study | 72 |
| ECTS | 6 |
| Professors |
Prof. Dr. Gregor Fischer
Professor Fakultät IME |
| Requirements | Attending the courses Image Sensor Technology, Camera Technology |
| Language | German and English |
| Separate final exam | Yes |
Literature
| E.A. Weber, Foto Praktikum, Birkhäuser |
| A. J. Theuwissen, Solid-State Imaging with Charge-Coupled Devices, Kluwer 1995 |
| G. R. Hopkinson, T. M. Goodman, S. R. Prince, A Guide to the Use and Calibration of Detector Array Equipment, SPIE 2004 |
| G. C. Holst, T. S. Lomheim, CMOS/CCD Sensors and Camera Systems, SPIE |
| J. Nakamura, Image Sensors and Signal Processing for Digital Still Cameras, Taylor & Francis |
| Reinhard/Ward/Pattanaik/Debevec, High Dynamic Range Imaging, Elsevier 2010 |
Final exam
| Details | written result report, presentation both in english language |
|---|---|
| Minimum standard | written and oral presentation of the project objectives, the project organisation and the project results |
| Exam Type | EN mündliche Prüfung, strukturierte Befragung |
Learning goals
| Goal type | Description |
|---|---|
| Knowledge | multiple image methods HDR (still picture and video) image stacking (focus bracketing) -> 3D, depth of field extension panorama stitching 3D-imaging |
| Knowledge | test proceedures OECF, SNR, MTF, color reproduction investigation and comparison of quality |
| Knowledge | processing methods raw data conversion HDR-tonemapping noise suppression and dynamic optimization |
| Knowledge | industrial imaging applications surface inspection metallic/nonmetallic (bright field/dark field, polarization, raw image processing) optical measurement (measurement of distribution of luminous intensity with a camera, BRDF measurement, ...) thermography with IR-camera surveillance cameras |
| Skills | designing and modelling of a procedure in a digital camera |
| Skills | balancing chances and risks for different problem-solving approaches |
| Skills | comprehend and understand scientific texts in English |
| Skills | presentation of project results in English |
| Skills | solve a problem by application of knowledges and skills from image sensor- and camera technology |
| Skills | determination of basic requirements on interface, hardware and software for a specific problem |
| Skills | inquireries on scientific publications in the field of image sensor- and camera technology feasibility-check of common procedures to solve problems from the task definition implementation of procedures in own programs combination of procedures in own programs |
| Skills | accomplish project task in a team plan and manage projects stick to agreements and deadlines achieve a solution in a team plan and execute reviews |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Project | 6 |
| Tutorial (voluntary) | 0 |
Special requirements
|
none |
| Accompanying material |
electronic developping tools for: access to raw data (Matlab) image processing (Matlab) digital camera simulation (Stanford's Imageval in Matlab), electronic tutorials thematic scripts additional papers videos |
|---|---|
| Separate exam | Yes |
Separate exam
| Exam Type | EN Projektaufgabe im Team bearbeiten (z.B. im Praktikum) |
|---|---|
| Details | 6 attendance appointments of 4h each per project group, final presentation, project documentation in English |
| Minimum standard | written and oral presentation of the project objectives, project organisation and project results |
Bei Fehlern, bitte Mitteilung an die
Webredaktion der Fakultät IME
Webredaktion der Fakultät IME
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