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Machine Vision and Applications
Erschienen in: Machine Vision and Applications 5/2014

01.07.2014 | Special Issue Paper

Dynamic image mosaic via SIFT and dynamic programming

verfasst von: Lin Zeng, Shengping Zhang, Jun Zhang, Yunlu Zhang

Erschienen in: Machine Vision and Applications | Ausgabe 5/2014

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Abstract

Image mosaic is a useful preprocessing step for background subtraction in videos recorded by a moving camera. To avoid the ghosting effect and mosaic failure due to huge exposure difference and big parallax between adjacent images, this paper proposes an effective mosaic algorithm named Combined SIFT and Dynamic Programming (CSDP). Based on SIFT matching and dynamic programming, CSDP uses an improved optimal seam searching criterion that provides “protection mechanisms” for moving objects with an edge-enhanced weighting intensity difference operator and ultimately solves the ghosting and incomplete effect induced by moving objects. The proposed method was compared to three widely used mosaic softwares (i.e., AutoStitch, Microsoft ICE, and Panorama Maker) and Mills’ approach in multiple scenes. Experimental results show the feasibility and effectiveness of the proposed method.
Vorheriger Artikel Background modeling in the maritime domain
Nächster Artikel HMPMR strategy for real-time tracking in aerial images, using direct methods

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Fußnoten
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Metadaten
Titel
Dynamic image mosaic via SIFT and dynamic programming
verfasst von
Lin Zeng
Shengping Zhang
Jun Zhang
Yunlu Zhang
Publikationsdatum
01.07.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Machine Vision and Applications / Ausgabe 5/2014
Print ISSN: 0932-8092
Elektronische ISSN: 1432-1769
DOI
https://doi.org/10.1007/s00138-013-0551-8

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