Optimization techniques for image representation in visual place recognition (CROSBI ID 722755)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Maltar, Jurica ; Matijević, Domagoj
engleski
Optimization techniques for image representation in visual place recognition
In visual place recognition we aim to match a given query image from a query database with the most appropriate reference image from a reference database. One of the main issues is how to represent a place. Although an ordinary RGB representation can represent a place, various, either handcrafted or learned representations such as deep convolutional neural networks achieve better quantitative results. By using optimization techniques, both convex and non-convex, we can adapt a place representation such that it fits into the problem of visual place recognition. Therefore, in this paper we examine numerous optimization techniques and incorporate them in the context of our problem. Quantitatively, in terms of the area under a curve (AUC) measure, conducted experiments show how such optimized representation outperforms unoptimized one.
Visual place recognition, computer vision, optimization, deep convolutional neural networks
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Podaci o prilogu
877-882.
2022.
objavljeno
10.23919/mipro55190.2022.9803589
Podaci o matičnoj publikaciji
Proceedings of the International Convention MIPRO
Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
MIPRO 2022
predavanje
23.05.2022-27.05.2022
Opatija, Hrvatska