solution-camera-pose-master.zip

# Pose and camera geometry This is our proposed solution for the lab ["Pose and camera geometry"][repo] in the computer vision course [TEK5030] at the University of Oslo. Please see the [lab guide][guide] for more information. ## Prerequisites For this lab, we can unfortunately not rely on conan to install all required OpenCV modules (namely the `viz` module for 3D visualization). You have a few other options: - Solve the [python lab](https://github.com/tek5030/lab-camera-pose-py) - Use the lab computers - Install OpenCV using [homebrew](https://brew.sh/) (option for mac and linux). (See also [Getting started on MacOS](https://tek5030.github.io/tutorial/macos.html).) - Rely on virtualbox and our prepared linux image with dependencies preinstalled (see [Canvas: Setting up your computer for the labs](https://uio.instructure.com/courses/44675/discussion_topics/295673)) [TEK5030]: https://www.uio.no/studier/emner/matnat/its/TEK5030/ [conan]: https://tek5030.github.io/tutorial/conan.html [lab_intro]: https://github.com/tek5030/lab-intro/blob/master/cpp/lab-guide/1-open-project-in-clion.md#6-configure-project [repo]: https://github.com/tek5030/lab-camera-pose [guide]: https://github.com/tek5030/lab-camera-pose/blob/master/README.md [lab_intro]: https://github.com/tek5030/lab-intro/blob/master/cpp/lab-guide/1-open-project-in-clion.md#6-configure-project [TEK5030]: https://www.uio.no/studier/emner/matnat/its/TEK5030/ [conan]: https://tek5030.github.io/tutorial/conan.html