The main objective of this course is to familiarise the student with computer image analysis , through the use of Computer Vision applications.
These perception systems has been established in the industry with two aims:
1. - To achieve greater interaction between machines and their surrounding environment.
2. - To obtain total visual quality control of manufactured products.
Nevertheless, the appearance of new algorithms and digital camera sensors have caused the range of applications has been expanded during the recent years. One example of this type of application can be found in digital cameras and apps, where faces of the people who appear in the photos are detected. Another examples are the automatic detection of license plates, or the new 3D cameras, which are able to provide information, not only of the object colour but also the distance to the appearing in the image are. These progresses allow new fields of application, such as security or autonomous diving, as well as new ways of interacting with computers, e.g. using had gestures or eye movements.
Due to the practical implications of the course, half of the classes will be Lab Sessions, where the students will learn how to use the OpenCV library, which represents nowadays, a de facto standard for Computer Vision applications because it allows creating real time image analysis applications fastly.