ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 111 Hours of tutorials: 1 Expository Class: 18 Interactive Classroom: 20 Total: 150
Use languages English
Type: Ordinary subject Master’s Degree RD 1393/2007 - 822/2021
Departments: Electronics and Computing, External department linked to the degrees
Areas: Electronics, Área externa Máster en Visión por Computador / Computer Vision
Center Higher Technical Engineering School
Call: First Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
To understand the basics and fundamentals of a computer vision system for different types of sensors and their corresponding applications.
Chapter 1- Image and Video Acquisition
Chapter 2- Smart Image Sensors
Chapter 3- Machine Vision Algorithms
Chapter 4- Geometric Camera Calibration
Chapter 5- 3D Data Acquisition
Chapter 6- Industrial Machine Vision Systems
Chapter 7- Industrial Machine Vision Applications
Basic Bibliography
Richard Szeliski. "Computer Vision: Algorithms & Applications". Springer 2010.
Rafael C. González, Richard E. Woods. "Digital Image Processing". Third Edition. Pearson 2007.
Jun Ohta. "Smart Image Sensors and Applications". Second Edition. CRC Press 2020.
Junichi Nakamura. "Image Sensors & Signal Processing for Digital Still Cameras". CRC Press 2016.
Alexander Hornberg, "Handbook of Machine and Computer Vision: The Guide for Developers and Users", Wiley-VCH, 2017.
E. R. Davies, "Machine Vision, Theory, Algorithms, Practicalities", Academic Press, 2012.
Adrian Kaehler, Gary Bradsky, "Learning OpenCV 3", O'Reilly Media Inc., 2017.
Laurent Berger, "Traitement d'images et de vidéos avec OpenCV 4 en Python (Windows, Linux, Raspberry)", Éditions D-BookeR, 2020.
Complementary Bibliography
Eric R. Fossum, Nobukazu Teranishi, Albert Theuwissen, David Stoppa, Edoardo Charbon. "Photon-Couting Image Sensors", MDPI 2017.
Image Sensors World (Internet Blog)- http://image-sensors-world.blogspot.com/
Basic Skills
CB7- Students have to be capable of applying the knowledge learned throughout the course and problem-solving abilities in new scenarios related to their field of study.
Transversal Skills
CT2- Team work capacity, organization and planification.
CT5- Green and sostenibility plans in their professional careers. Equity, responsability and efficiency with the resources available.
Generic Skills
CG3- Ability to design and deploy computer vision systems meeting existing needs, and ability to run the most suitable tools.
CG4- To be critic and to make strict and serious assessment of technologies and methodologies.
Specific Skills
CE6- To be knowledgeable and to apply fundamentals of image acquisition and computer vision.
Face-to-face lectures by the teacher on the topics of every chapter. Examples or use cases of every chapter will be given. Some concepts will be completed with some talks. Students will attend lab lessons, conducting their experiments, and will do their own homework to elaborate contents.
This subject requires face-to-face assistance of all students at the University of Santiago de Composteal to carry out part of their laboratory practices.
Final exam- 40%
Homework and lab hand-outs- 60%
The final exam is a written exam hold face to face at every university with teacher and room provided by the coordinator at every university.
This subject comprises 36 face-to-face lectures.
Face-to-face time with the teacher: classroom lectures, lab lectures and exam
Classroom lectures- 18 hours
Lab lectures- 20 hours
Exam- 4 hours
Overall- 42 hours
Students time
Classroom study time- 55 hours
Homework and lab student time- 65 hours
Overall- 120 hours
Overall subject time- 162 hours
No secrets, just attend all the lectures, ask questions, probe further on either recommended bibliography or your own sources, Internet included, but above all, daily study, and office hours with the teachers.
Classrooms will be given in English
Victor Manuel Brea Sanchez
Coordinador/a- Department
- Electronics and Computing
- Area
- Electronics
- Phone
- 881816436
- victor.brea [at] usc.es
- Category
- Professor: University Professor
Paula López Martínez
- Department
- Electronics and Computing
- Area
- Electronics
- Phone
- 881816435
- p.lopez [at] usc.es
- Category
- Professor: University Lecturer
| Monday | |||
|---|---|---|---|
| 15:30-18:30 | Grupo /CLE_01 | English | Aula A9 |
| Friday | |||
| 15:30-18:30 | Grupo /CLIL_01 | English | Aula A9 |