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). The first date of the exercise will be announed in the lecture.

• correctness and performance of the software implementations
• technical report

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