Computer vision

Website:

website containing additional information

Course code:

INFOMCV

Credits:

7.5 ECTS

Period:

periode 2 (week 46 t/m 5, dwz 12-11-2012 t/m 1-2-2013; herkansing week 11)

Timeslot:

Participants:

up till now 48 subscriptions

Schedule:

Note: from now on the schedule is to be found in Osiris

Teachers:

Dit is een oud rooster!

form	group	time	week	room	teacher
college		wo 15.15-17.00	46	ANDRO-C101	Robby Tan
			47	WENT-GROEN
			48-49	ANDRO-C101
			50-51	WENT-GROEN
			2-4	ANDRO-C101
		vr 9.00-10.45	46	MIN-208
			47	RUPPERT-ROOD
			48-51	MIN-208
			2-4	MIN-208
practicum	groep 1				Marcelo Rodríguez López

Contents:

In case you are wondering why we learn computer vision, consider this: if "seeing" the world with your eyes is important and beneficial, so is computer vision. The goal of computer vision is to make computers work like human visual perception, namely, to recognize and understand the world through visual information, such as, images or videos. Human visual perception, after millions of years of evolution, is extremely good in understanding and recognizing objects or scenes. To have similar abilities to human visual perception (or beyond), computer scientists have been attempting to develop algorithms by relying on various visual information, and this course is about those algorithms, particularly the practical side of them.

The potential benefits of computer vision systems are immense. It is anticipated that computer vision systems will soon become commonplace and its technology will be applied for a broad range of products, such as, google search on images and videos, object/face recognition and tracking, human pose identification, 3D reconstruction from images, video analysis, image/video enhancement, robot vision, medical imaging, surveillance, remote sensing, user interactions for mobile devices, computer graphics, computer games, intelligent vehicle systems (a car that can drive itself), and many more.

To enrol the course, programming skills in C/C++ are required. This course emphasizes in the practicality of computer vision, meaning more projects, which are more fun.

Literature:

1. Computer Vision: Algorithms and Applications (download here)

Course form:

During the course, students are expected to accomplish a few assignments. Hence, programming skills in C/C++ are required. There is a written final exam in the end of the course.

Exam form:

The final grade is average of the following assessments:
* Projects [40%]
* Final Exam [60%]

The minimum final grade to pass the course is 6 (any number below 6 will not let you pass the course).

Minimum effort to qualify for 2nd chance exam:

Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.

Description:

If you need more information about the course, please contact Robby T. Tan.

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