Understanding the motion of a camera from only the image(s) it captures is a di cult problem. At best we might hope to estimate the relative motion between camera and scene if we assume a static subject, but once we start considering scenes with dynamic content it becomes di cult to di↵erentiate between motion due to the observer or motion due to scene movement. In this thesis we show how the invaluable cues provided by inertial sensor data can be used to simplify motion analysis and relax requirements for several computer vision problems.This work was funded by the University of Bath.
Date of Award | 11 Nov 2015 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Philip Willis (Supervisor) & Peter Hall (Supervisor) |
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- inertial sensors
- computer vision
- image segmentation
- cuda
- Image processing
- optical flow
- optical flow confidence
Image Motion Analysis using Inertial Sensors
Saunders, T. (Author). 11 Nov 2015
Student thesis: Doctoral Thesis › PhD