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.

  • Education cycle

    Second cycle
  • Main field of study

    Computer Science and Engineering
  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Autumn 19 dfoto18 for programme students CANCELLED

Autumn 18 dfoto18 for programme students

Autumn 18 Doktorand for single courses students

  • Periods

    Autumn 18 P1 (6.0 credits)

  • Application code


  • Start date


  • End date


  • Language of instruction


  • Campus

    KTH Campus

  • Tutoring time


  • Form of study


  • Number of places *

    Max. 1

    *) If there are more applicants than number of places selection will be made.

  • Course responsible

    Josephine Sullivan <sullivan@kth.se>

  • Teacher

    Josephine Sullivan <sullivan@kth.se>

  • Target group

    For doctoral students at KTH

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.

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.

Recommended prerequisites

Knowledge corresponding to the compulsory courses on mathematics, computer science and numerical analysis on D-, E- or F-programme.


Kompendium producerat vid institutionen.


  • LAB1 - Laboratory Works, 3.0, grading scale: P, F
  • TEN1 - Exam, 3.0, grading 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.

Offered by

EECS/Intelligent Systems


Josephine Sullivan (sullivan@kth.se)


Josephine Sullivan <sullivan@kth.se>

Supplementary information

The course has replaced DD2428 Geometric Computing and Visualization.

The course is given in English if necessary.

Add-on studies

DD2423 Image Processing and Computer Vision and
DH2413 Advanced Graphics and Interaction.


Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.