A Comprehensive Motion Estimation Technique for the Improvement of EIS Methods Based on the SURF Algorithm and Kalman Filter

Video stabilization is an important technology for removing undesired motion in videos. This paper presents a comprehensive motion estimation method for electronic image stabilization techniques, integrating the speeded up robust features (SURF) algorithm, modified random sample consensus (RANSAC),...

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Detalles Bibliográficos
Autores principales: Cheng, Xuemin, Hao, Qun, Xie, Mengdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851000/
https://www.ncbi.nlm.nih.gov/pubmed/27070603
http://dx.doi.org/10.3390/s16040486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851000/
https://www.ncbi.nlm.nih.gov/pubmed/27070603
http://dx.doi.org/10.3390/s16040486

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