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Photogrammetry and 3D Computer Vision - Course year 2024
In the assignments (and lab exercises), you will implement (and experiment) a few 3D computer vision algorithms/techniques using open-source libraries.
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There are three 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.
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Groups of three (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!
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C++ source code frameworks are provided and you only need to implement the core algorithms. You will get every support to accomplish the assignments.
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The assignments together form a project, in which every subsequent assignment may depend on the previous ones. In case you fail in a previous assignment, the depending code and data will be provided for you to be able to continue on the project.
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Be creative with experiments; try different scenarios and discuss the pros and cons in the report.
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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).
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You may resubmit an assignment after revising it based on feedback (from the teachers or peer-reviewing), but the assessment is mainly based on your first submission. If you improve and resubmit your assignment, you may receive a slightly higher mark (but no more than 5%).
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Strict deadlines: 10% deduction per day for late submissions. Assignments will not be accepted more than three days past the deadline.
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.
Assignment |
Start |
Deadline |
1: Calibration |
May 3, Fri. |
23:59, May 17, Fri. |
2: Triangulation |
May 17, Fri. |
23:59, May 31, Fri. |
3: Reconstruction |
May 31, Fri. |
23:59, Jun. 14, Fri. |
Copyright @Liangliang Nan. 2021