In the assignments (and lab exercises), you will implement (and experiment) a few 3D computer vision algorithms/techniques using open-source libraries.

• There are 3 mandatory assignments in this course, to get you acquainted with 3D reconstruction workflows. Each assignment will be released/accessible after the related lectures have been delivered.
• Groups of 3 (ideally) students will work on assignments together. It is essential that every group member plays an active role, including in writing codes AND in writing the report. A division of tasks based on handing the role of report writing to one person and code writing to another is strongly discouraged!
• C++ source code frameworks are provided and you only need to implement the core algorithms. You will get every support to accomplish the assignments.
• Your report needs to include a brief description of how the tasks were distributed among the team members. This is used to differentiate individual grades (see here for an example of the report). Note that this is NOT a template for reports and feel free to use your own format (LaTex is recommended).
• Flexible & strict deadlines: max 3-day delay allowed (no deduction), or max 55% granted after the 3-day extension.

Read the instructions before you start!

The assignment materials are available on BrightSpace under the "Assignments" tab. After you complete an assignment, submit it to BrightSpace (for the university to have a permanent record of your work). You will also receive the mark for each assignment on BrightSpace.

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