DD2429 Computational Photography 6.0 credits
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.
Educational levelSecond cycle
Academic level (A-D)C
Subject areaComputer Science and Engineering
Grade scaleA, B, C, D, E, FX, F
PeriodsAutumn 13 P1 (6.0 credits)
Start date2013 week: 36
End date2013 week: 44
Language of instructionEnglish
Number of lectures
Number of exercises
Form of studyNormal
Number of placesNo limitation
ScheduleSchedule (new window)
Course responsibleStefan H Å Carlsson <firstname.lastname@example.org>
Compulsary for TMAIM-PC2.
Searchable for students at Master of Science in Engineering with at least 90 hp of which at least 50 hp from year 1 and for students at Master of Science in Engineering.
Part of programme
- Master (Two Years), Computer Science, year 2, CSCA, Conditionally Elective
- Master (Two Years), Human-Computer Interaction, year 2, HCIC, Optional
- Master (Two Years), ICT Innovation, year 2, DMTE, Optional
- Master (Two Years), Machine Learning, year 2, MAIA, Mandatory
- Master (Two Years), Machine Learning, year 2, MAIB, Conditionally Elective
- Master (Two Years), Machine Learning, year 2, MAIC, Conditionally Elective
- Master (Two Years), Media Technology, year 1, META, Conditionally Elective
- Master (Two Years), Media Technology, year 2, META, Conditionally Elective
- Master (Two Years), Systems, Control and Robotics, year 1, Recommended
- Master (Two Years), Systems, Control and Robotics, year 2, Recommended
- Master of Science in Engineering and of Education, year 4, MADA, Conditionally Elective
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.
Course main content
- 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.
Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.
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.
- LAB1 - Laboratory Works, 3.0 credits, grade scale: P, F
- TEN1 - Exam, 3.0 credits, grade scale: A, B, C, D, E, FX, F
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.
Stefan Carlsson, tel: 790 8432, e-post: email@example.com
Stefan H Å Carlsson <firstname.lastname@example.org>
The course has replaced DD2428 Geometric Computing and Visualization.
The course is given in English if necessary.
DD2423 Image Processing and Computer Vision and
DH2413 Advanced Graphics and Interaction.
Course plan valid from:
Examination information valid from: Autumn 10.