Talks

MEMS-sensors in Computer Vision: we underestimate them

October 20, 12:15
Room II

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.

Anastasiya Kornilova

Student, Software Engineering Department, St Petersburg State University

Iakov Kirilenko

Senior Lecturer at Software Engineering Department, St Petersburg State University

Sponsors & Partners

Sponsors

Gold

JetBrainsFirst Line Software

Silver

Dell EMCDINSVeeam Software

Embedded

Auriga

Sponsors

I.T. GroupT-SystemsUnited Frontal System Program

Individual

Andrey Terekhov

Partners

Main partners

AP KITRUSSOFT

In cooperation

Association for Computing MachineryACM Special Interest Group on Software Engineering

Technical partners

CUSTISSoftInvent7pap StudioHosting-CenterGroup MPrezentPrint SalonDPI.Solutions

With support of

RAEC

Organizers

Software Russiai-Help