1.0Computer Vision for Cinematographic Motion Controlhttps://mscvprojects.ri.cmu.edu/2025team1Control via Demonstration - Computer Vision for Cinematographic Motion Controlrich600338<blockquote class="wp-embedded-content" data-secret="rh8XklTfG0"><a href="https://mscvprojects.ri.cmu.edu/2025team1/results/">Control via Demonstration</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team1/results/embed/#?secret=rh8XklTfG0" width="600" height="338" title="“Control via Demonstration” — Computer Vision for Cinematographic Motion Control" data-secret="rh8XklTfG0" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Figure 1 lays out the control via demonstration pipeline. We used ORB SLAM3 [1] to obtain the camera trajectory from the phone inputs: RGB Video, IMU position data, and the Lidar depth map. This is then passed through the trajectory refinement layer as described in the methodology page to obtain the final output trajectory. Results … Continue reading ""https://mscvprojects.ri.cmu.edu/2025team1/wp-content/uploads/sites/133/2025/12/Screenshot-2025-12-11-122028.png1536495