Mohamed Sayed
Research Subjects
Mohamed Sayed has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Brostow
Department of Computer Science, University College London, London, United Kingdom
2 shared publications - Clément Godard
Google
1 shared publication Enrico Costanza
University College London, London, United Kingdom
1 shared publication- Filippo Aleotti
Niantic Spatial, Inc., London, United Kingdom
1 shared publication Gabriel Brostow
University College London, London, United Kingdom
1 shared publication- Guillermo Garcia-Hernando
Niantic Spatial, Inc., London, United Kingdom
1 shared publication
Latest Publications
- Open Access
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Don’t Look Now: Audio/Haptic Guidance for 3D Scanning of Landmarks
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Open AccessDon’t Look Now: Audio/Haptic Guidance for 3D Scanning of Landmarks
- 2 November 2022
- Published by Springer Nature
- p. 1-19
SimpleRecon: 3D Reconstruction Without 3D Convolutions
- 2 November 2022
- Published by Springer Nature
- p. 1-19
SimpleRecon: 3D Reconstruction Without 3D Convolutions
- Open Access
- 7 March 2022
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 41 (3) , 1-16
LookOut! Interactive Camera Gimbal Controller for Filming Long Takes
The job of a camera operator is challenging, and potentially dangerous, when filming long moving camera shots. Broadly, the operator must keep the actors in frame while safely navigating around obstacles and while fulfilling an artistic vision. We propose a unified hardware and software system that distributes some of the camera operator’s burden, freeing the operator up to focus on safety and aesthetics during a take. Our real-time system provides solo operators with end-to-end control so that they can balance on-set responsiveness to action against planned storyboards and framing while looking where they are going. By default, we film without a field monitor. Our LookOut system is built around a lightweight commodity camera gimbal mechanism, with heavy modifications to the controller, which would normally just provide active stabilization. Our control algorithm reacts to speech commands, video, and a premade script. Specifically, our automatic monitoring of the live video feed saves the operator from distractions. In preproduction, an artist uses our graphical user interface (GUI) to design a sequence of high-level camera “behaviors.” Those can be specific, based on a storyboard, or looser objectives, such as “frame both actors.” Then, during filming, a machine-readable script, exported from the GUI, ties together with the sensor readings to drive the gimbal. To validate our algorithm, we compared tracking strategies, interfaces, and hardware protocols and collected impressions from (a) filmmakers who used all aspects of our system and (b) filmmakers who watched footage filmed using LookOut.
- 7 March 2022
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 41 (3) , 1-16
Open AccessLookOut! Interactive Camera Gimbal Controller for Filming Long Takes
The job of a camera operator is challenging, and potentially dangerous, when filming long moving camera shots. Broadly, the operator must keep the actors in frame while safely navigating around obstacles and while fulfilling an artistic vision. We propose a unified hardware and software system that distributes some of the camera operator’s burden, freeing the operator up to focus on safety and aesthetics during a take. Our real-time system provides solo operators with end-to-end control so that they can balance on-set responsiveness to action against planned storyboards and framing while looking where they are going. By default, we film without a field monitor. Our LookOut system is built around a lightweight commodity camera gimbal mechanism, with heavy modifications to the controller, which would normally just provide active stabilization. Our control algorithm reacts to speech commands, video, and a premade script. Specifically, our automatic monitoring of the live video feed saves the operator from distractions. In preproduction, an artist uses our graphical user interface (GUI) to design a sequence of high-level camera “behaviors.” Those can be specific, based on a storyboard, or looser objectives, such as “frame both actors.” Then, during filming, a machine-readable script, exported from the GUI, ties together with the sensor readings to drive the gimbal. To validate our algorithm, we compared tracking strategies, interfaces, and hardware protocols and collected impressions from (a) filmmakers who used all aspects of our system and (b) filmmakers who watched footage filmed using LookOut.