Naslov
Optimization techniques for image representation in visual place recognition

Autori
Maltar, Jurica ; Matijević, Domagoj

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Convention MIPRO / - : Institute of Electrical and Electronics Engineers (IEEE), 2022, 877-882

Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)

Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Visual place recognition, computer vision, optimization, deep convolutional neural networks

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA