MEMS-sensors in Computer Vision: we underestimate them
October 20, 12:15
A key challenge in such areas of computer vision as video stabilization, 3D-reconstruction, SLAM, VR, is to increase energy efficient and performance of algorithms being implemented. In most cases, a detection of camera movement and rotation is a significant consumer of a computational power. In this report, we discuss how to decrease significantly the number of calculations using MEMS motion sensors (gyroscope, accelerometer) in case of video stabilization task. We consider main difficulties that can be encountered when implementing these algorithms on specific platforms.
This topic would be interesting for specialists in the fields related to computer vision and digital signal processing. The main goal of the report is to present our ongoing research on digital video stabilization and to analyze its application in various fields.