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Image Processing and Computer vision
01TUJOV, 01TUJPD
A.A. 2020/21
Course Language
Inglese
Degree programme(s)
Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino
Master of science-level of the Bologna process in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 40 |
| Esercitazioni in laboratorio | 20 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Montrucchio Bartolomeo | Professore Ordinario | IINF-05/A | 40 | 0 | 0 | 0 | 7 |
Co-lectures
Context
| SSD | CFU | Activities | Area context |
|---|---|---|---|
| ING-INF/05 | 6 | B - Caratterizzanti | Ingegneria informatica |
2020/21
The course is taught in Italian.
Image capture, processing and understanding are required for many practical applications. In particular, Computer Vision refers to computing properties of the 3D world from 2D images. Among main applications, we quote industrial inspection, surveillance, biometric identification, human body motion capture for entertainment, medicine or sport performance enhancement, satellite and UAV images analysis, 3D scanning, and robotic navigation. The course will provide the elements of the most used image processing and analysis techniques, and will illustrate some popular application.
The course will supply the main elements about:
- Sensor and optical systems
- Optical systems' models and transfer functions
- Frequency analysis of images
- Enhancement and reconstruction of images corrupted by noise, motion blur, atmospheric turbulence, etc.
- Techniques for image segmentation and feature extraction
- 2D and 3D objects recognition
- Motion analysis
Using this knowledge, and based on several examples, the student should be able to design image analysis and computer vision applications.
Basics of analysis, 1D signal processing, linear algebra, probability theory.
Main topics.
- Imaging systems (1 cr)
- Image processing. 2D transforms and transfer function(1,0 cr)
- Image enhancement and image restoration (0.5 cr)
- Image segmentation and feature extraction (0.5 cr)
- 2D and 3D object recognition (1 cr)
- Motion analysis(0.5 cr)
- Case studies(1.5 cr)
The laboratory sessions will build on the material covered in the class, and aim to solidify your understanding of concepts through hands-on experimentation. Project will be assigned individually or to small groups. The results will be evaluated and will contribute to the final mark.
Course transparencies and other material at http://didattica.polito.it
Suggested textbooks:
- R.C. Gonzales and R.E. Woods: Digital Image Processing, Pearson International Edition, 2008
- C. Steger, M. Ulrich, C. Wiedermann: Machine Vision Algorithms and Applications, Wiley-VCH, 2008
- G.C. Holst and T.S. Lomheim: CMOS/CCD Sensors and Camera Systems, SPIE Press, 2007
- E.R. Davies, Machine Vision: Elsevier, 2005
Exam: Computer-based written test using the PoliTo platform; Individual project; Group project;
The exam is composed by a written part normally of 80 minutes, in which it will be required to answer to questions, normally 5. If required by the teacher there will be an (additional) oral exam.
It is required to book for the exam and to have an identity card during the exam.
No computers, mobile phones or smartphone, books or notes will be allowed during the exam.
A mandatory work, from one or more students together, is required, in order to create a graphic application using the knowledge got during the course. Correctness of answers to written/oral exam and correct execution of the mandatory work will produce the final mark.
Exam: Written test; Computer-based written test using the PoliTo platform; Individual project; Group project;
The exam is composed by a written part normally of 80 minutes, in which it will be required to answer to questions, normally 5. If required by the teacher there will be an (additional) oral exam.
It is required to book for the exam and to have an identity card during the exam.
No computers, mobile phones or smartphone, books or notes will be allowed during the exam.
A mandatory work, from one or more students together, is required, in order to create a graphic application using the knowledge got during the course. Correctness of answers to written/oral exam and correct execution of the mandatory work will produce the final mark.