After successful completion of the course, students are able to understand the following:

• How to compute the relative orientation of two (uncalibrated) images without any initial values.
• Which decisions must be taken in the course of a bundle block adjustment (image measurements, initial values, iteration stopping criterion, distortion model, datum, ...) and how they influence the result.

• Programming a photogrammetric task in Matlab (or Octavia) exploiting projective geometry
• Computation of a bundle block adjustment

• Implementation of a photogrammetric solution from scratch in the software package Matlab (or Octavia)
• Building a photogrammetric workflow using Python scripting in an existing photogrammetric framework
• Testing the implementations using real data (given and/or acquired by the students
• Working in groups of 3 persons

This exercise is executed in small groups with your own time management. Only three dates will be coordinated for all which is done in coordination with the lecture (120.027).

• correctness and performance of the software implementations
• technical report

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