This course has been discontinued.
Last planned examination: Autumn 2012Decision to discontinue this course: No information inserted
Geometric problems in computer vision and image-based visualization such as virtual reality and computer games by 3D reconstruction from multiple views and image-based rendering.
Content and learning outcomes
- Overview of problems and methods in geometric computing such as image based visualization and automatic shape recognition.
- Basic algebra and geometry of imaging systems.
- Geometric basis of texture mapping.
- Mathematics and geometry of multiple views.
- Calibration and 3D reconstruction from multiple views.
- Methods for analysis of geometric shape.
- Robust statistics and matching problems.
- Methods for image-based rendering.
Intended learning outcomes
After the completion of the course the student is expected to
- describe the research area of image-based 3D visualization and commercial systems for this,
- give an account for the mathematical and geometric foundations used in image-based 3D reconstruction and visualization,
- apply known methods for mathematical and numerical treatment of problems of geometric nature,
- implement methods for automatic extraction of geometric information from images,
- describe how a system for automatic creation of 3D models from known images might look like,
- describe the most common methods for image-based rendering.
Literature and preparations
Knowledge corresponding to the compulsory courses on mathematics, computer science and numerical analysis on D-, E- or F-programme.
Course notes produced at the department.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
- TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F
The examiner may apply another examination format when re-examining individual students.
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Other requirements for final grade
Examination (TEN1; 3 university credits).
Laboratory assignments (LAB1; 3 university credits).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Main field of study
DD2422 Image Processing and Computer Vision and
DH2413 Advanced Graphics and Interaction.
The course is replaced by DD2429 Computational Photography.
The course is given in English if necessary.