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Assessment Guide (Machine Vision)


A final version of this exam will be published before the teaching term ends.


  1. The exam is viva voce.
  2. Duration Normally 20 min. May extend up to a maximum of 30 min.
  3. The student manages the first seven minutes of the exam to make their case to demonstrate that the learning outcomes have been achieved.
  4. The student is free to bring any material desired to serve as a demonstration. However,
    • having developed a product is not sufficient.
    • The candidate has to demonstrate that they understand how to develop the product. See below for elaboration.
    • This is both because depth understanding is a learning objective in itself, and because we cannot otherwise know if the student has developed the demo themselves.
  5. The remaining 2/3 of the exam is for further questions from the examiners to make sure that all the learning outcomes are covered.

Learning outcomes

The assessment is made with respect to the learning outcomes from the Module Description, as follows (with numbering added).

K1 The candidate can explain fundamental mathematical models for digital imaging, 3D models, and machine vision

K2 The candidate are aware of the principles of digital cameras and image capture

S1 The candidate can implemented selected techniques for object recognition and tracking

S2 The candidate can calibrate cameras for use in machine vision systems

C1 The candidate has a good analytic understadning of machine vision and of the collaboration between machine vision and other systems in robotics

C2 The candidate can exploit the connection between theory and application for presenting and discussing engineering problems and solutions

Interpretation of Grades and Learning Outcomes

The Grade C

The Grade C represents solid working knowledge of the most important techniques in the syllabus. This includes

  1. Sufficient knowledge to be able to implement and use the technique. (S1)
  2. Sufficient theoretical understanding to vary the techniques and adapt them to different use cases, including but not limited to parameter tuning. (C2)
  3. Sufficient theoretical understanding to explain when and why the technique is appropriate. (K1, C1)

Which techniques are most important may be subject to opinion, but the following has a good case,

  1. Feature tracking - i.e. identification of objects in a video, and tracking of these objects across several frames.
  2. Calculation of relative pose, triangulation, and 3D reconstruction. TODO The wording needs review.

A student who merits a C can be trusted to implement these techniques correctly in a project without close supervision.

Students who have focused on other techniques which are important for their own education, may choose to focus on them, as long as

  • they are taken from the syllabus, possibly extended with other sources.
  • they constitute a similar volume and challenge as the above.
  • they address the learning outcomes (S1, C2, K1, C2) as mentioned above.

The student also needs a cursory understanding of the remaining learning outcomes (K2, S2).

We respect that some students may have a more practical, and others a more theoretical understanding of the technology, and that both may merit the same grade. The C Grade is a broad category.

The Grade A (and B)

The Grade A represent broad and deep understanding of all the material discussed in the module. This includes the requirements for a C, and additionally the A student has

  1. working knowledge of additional techniques from the syllabus.
  2. solid understanding of learning outcome K2 and S2.
  3. deeper and more complete understanding of the underlying theory than we expect for a C

To merit an A the candidate has to impress and surprise. The performance has to clearly outstanding, as it says in the nationaly guidelines:

An excellent performance, clearly outstanding. The candidate demonstrates excellent judgement and a very high degree of independent thinking.

The Grade B is an intermediate grade. The candidate demonstrates some features of an A and thus exceed the expectations for a C, but they do not have to be `clearly outstanding’.

The Grade E (and D)

Grades below C represents working knowledge which can possibly be of value in a development team, but not sufficient for the candidate to be trusted to carry out independent work.

As for the C, the candidate has to

  • demonstrate working knowledge of the most important techniques in the syllabus,
  • be aware of most of features that require tuning and adaptation in practical situation.

Unlike the C, a certain awareness of the underlying theory suffices. This is not expected to suffice to adapt and justify solutions to practical uses beyond routine problems.