1. Dan Witzner Hansen Diako Mardanbeigi Email: witzner@itu.dkwitzner@itu.dk/ dima@itu.dk dima@itu.dk

2.  Usual get to know each other  About the course  Appetizer  Rudimentary

3.  Lectures Thursdays - 9.15-12, 2A14  Exercises room 4A54 / 4A58  Homepage and questions please use the blog: http://blog.itu.dk/SIGB-F2011/ TA: Lise Møller Pedersen(lmp@itu.dk)

4.  Parts from various books  Lecture notes  Links

5.  Exercises are not mandatory but recommended  Assignments are mandatory and have to be handed in to the TA in groups of 2-3 persons AND at the end of the semester as groups.  PLEASE form the groups before next lecture.  The exam is oral with written material (assignments)

8. Photos: Diako Mardanbeigi

9.  Selected brief presentations:  – Name?  – Your expectations for the course?

10.  Rely on reading material for precise details.  Try to give you a basic intuition, another angle on the material, an instructive example.  Help you read the books: Try to explain the most difficult parts well, leave the easy parts to yourselves.  You are expected to read in advance to have an idea about the lecture, but you should expect to use more time per page after the lectures.  I speak fast, but will try to slowdown  Feedback ALWAYS welcome – please :D

11. Higher level information (Vision Contraints) Scene understanding Computer vision 3D Model Image formation Low level Processing HorseHorse Horse Sky Tree Grass Horse Athlete Shape from X???

13. Rudimentary linear algebra / matrix calculations Matlab Computer GraphicsC# and matlab Image analysisMatlab / hints to C#/WPF Computer VisionMatlab

14.  About using photoshop / Maya / 3DSM etc, but about some of their basics (platform independece)  Image analysis?

15.  Develop interactive computer graphics applications in C# and DirectX /XNA  Explain and implement geometric and projective transformations of images and 3D objects (2D and 3D, pinhole cameras, stereo cameras).  Employ rasterization of geometric primitives (drawing lines, polygons, etc.)  Texture-mapping, shadows, hidden surface removal and lighting.  You will be able to clearly explain and implement standard operations on images (such as image filtering and image morphology) in Matlab.  You will be able to clearly explain and use basic linear algebra in Matlab.  You will be able to adapt appropriate vision and graphics methods to a given problem.  Material may be challenging during the course. Focus on understanding not proofs.  Hope to share our enthusiasm about the contents and their possibilities

16.  Games (Graphics, Effects, Computer vision)  HCI (e.g. computer interaction)  Interaction design  Pervasive computing

17.  Almost everywhere and increasing  Homes  Industry  Medical  Interaction  User interfaces (e.g. an important part of WPF)

18. http://www.wpftutorial.nethttp://www.wpftutorial.net IntroductionTo3D.html

21. Recognition of heart movements Diagnosis of arteritis (gigt) Automatically detected haemorrhages and micro aneurysms in digitized fundus images

23.  Movies (special effects, improve quality etc)  Photo manipulation, correction  Games

24. Courtesy Claus Madsen, AAU

26.  Lecture 16. February has been moved to Friday 11. February (9.15-12)  Exercise 16. February has NOT been moved…

27.  Today’s goals:  Learn enough matlab to get started.  Review some basics of Linear Algebra