The project requires the following libraries. Please ensure they are installed before running the code:
opencv: For computer vision tasks, including video processing and feature detection.numpy: For numerical computations and matrix operations.matplotlib.pyplot: For plotting graphs and visualizations.mpl_toolkits.mplot3d: For 3D plotting capabilities.sift: For extracting and locating features in the images.flannbasedmatcher: For efficiently matching the SIFT features between images.
Before executing the code, update the path to the video file according to your local file system setup.
- The code processes a total of 146 frames from the video, which may take some time to run depending on system performance.
- After processing the video, the code will display a series of four plots:
- Translation plot showing the movement of the camera.
- Roll plot indicating the rotation around the front-to-back axis.
- Pitch plot illustrating the rotation around the side-to-side axis.
- Yaw plot depicting the rotation around the vertical axis.
These plots are with respect to the frames processed from the video.
- There is no need to install any non-standard libraries beyond those listed above.
- Ensure that all paths and environment settings are correct for your operating system.
The results are visualized in the images below:
