Home /Research /Feature‐based recursive observer design for homography estimation and its application to image stabilization
OTHER

Feature‐based recursive observer design for homography estimation and its application to image stabilization

Minh‐Duc Hua, Jochen Trumpf, Tarek Hamel, Robert Mahony, Patrick Gallinari

Year
2019
Citations
18

Abstract

Abstract This paper presents a new algorithm for online estimation of a sequence of homographies applicable to image sequences obtained from robotic vehicles equipped with vision sensors. The approach taken exploits the underlying Special Linear group structure of the set of homographies along with gyroscope measurements and direct point‐feature correspondences between images to develop temporal filter for the homography estimate. Theoretical analysis and experimental results are provided to demonstrate the robustness of the proposed algorithm. The experimental results show excellent performance and robustness even in the case of very fast camera motions (relative to frame rate) and severe occlusions.

Keywords

HomographyRobustness (evolution)Artificial intelligenceComputer visionImage stabilizationComputer scienceGyroscopeObserver (physics)Frame (networking)Image (mathematics)

Related papers

Browse all OTHER papers