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DD2429 Computational Photography 6.0 credits

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Information per course offering

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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD2429 (Spring 2019–)
Headings with content from the Course syllabus DD2429 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • 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

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Equipment

No information inserted

Literature

Kompendium producerat vid institutionen.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

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

Examination

  • LAB1 - Laboratory Works, 3.0 credits, grading scale: P, F
  • TEN1 - Exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

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.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Josephine Sullivan

Ethical approach

  • 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.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Intelligent Systems

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

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

Contact

Josephine Sullivan (sullivan@kth.se)

Supplementary information

The course has replaced DD2428 Geometric Computing and Visualization.

The course is given in English if necessary.