Dan Witzner Hansen Diako Mardanbeigi

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

 Lectures Thursdays , 2A14  Exercises room 4A54 / 4A58  Homepage and questions please use the blog: TA: Lise Møller

 Parts from various books  Lecture notes  Links

 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)

Photos: Diako Mardanbeigi

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

 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

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???

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

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

 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

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

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

IntroductionTo3D.html

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

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

Courtesy Claus Madsen, AAU

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

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