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Vision and Image Processing


Semesterangivelse: Efterårs kursus Kurset udbydes i blok 2 Kurset udbydes i skemagruppe C Kurset giver 7,5 ETCS point

 


Udgave: Efterår 2012 NAT
ECTS points: 7,5
Point: 7,5
Blokstruktur: 2. blok
Skemagruppe: C
Fagområde: dat
Varighed: 8 weeks
Institutter: Department of Computer Science
Uddannelsesdel: Kandidat niveau
Kontaktpersoner: Kim Steenstrup Pedersen
Andre undervisere: Francois Lauze
Skema- oplysninger:  Vis skema for kurset
Samlet oversigt over tid og sted for alle kurser inden for Lektionsplan for Det Naturvidenskabelige Fakultet Efterår 2012 NAT
Undervisnings- form: Mix of lectures and exercises
Formål: The objective is to provide students with a general introduction to visual cognitive models and its relevance to modern image processing. The course also provides students with the necessary mathematical background to understand vision and image processing methods and includes programming exercises. This course is mandatory for students enrolled in the It & cognition MSc study programme and is a restricted elective course for students enrolled in the MSc programme in Computer Science. The course content does not overlap with Signal and image processing (MSc in Computer Science).
Indhold: We will investigate state of the art methods for solving visual processing tasks such as perception, scene understanding, object recognition, and content based image search and retrieval.
Målbeskrivelse: The student must document knowledge of the most common problems, methods and results in vision and image processing including:
  • describing common applications of importance to society
  • describing and applying feature extraction methods and modeling techniques in image and vision processing
  • understanding and analyzing the main challenges in vision and image processing today
  • Implementation of selected methods
  • Comparative evaluation of the studied methods.
Lærebøger: We will mainly use a collection of scientific papers.
Tilmelding: Via KUnet from May 15th to the June 1st.
Faglige forudsætninger: Basic programming as obtained on Scientific programming (IT&cognition) or as required by the MSc programme in Computer Science.
Eksamensform: Continuous assessment based on assignments throughout the course. Assignments handled electronically in Absalon. Internal Pass / fail grading. Re-exam: Resubmission of assignments. Internal Pass / fail grading.
Eksamen: Løbende evaluering. Reeksamen: Genaflevering af opgaver den 17. april 2013.
Kursus hjemmeside:
Undervisnings- sprog: Kun engelsk
Sidst redigeret: 10/5-2012



Københavns Universitet