Conference paper Open Access

Superpixel Description and Indexing for Visual Loop Closure Detection

Rihem El-Euch; Emilio Garcia-Fidalgo; Alberto Ortiz; Ferdaous Chaabane; Adel Ghazel

Recognizing whether the current place has been visited before or not is an important task in robotic navigation, since it helps to reduce the inconsistencies produced by the inherent noise of navigation sensors. When a camera is used as input for navigation, this process is known as visual loop closure detection. Under this context, in this work we propose a loop closure detection method based on superpixels and a Bag of Words scheme. A novel image description method for superpixels is proposed. Our approach also makes use of the concept of dynamic islands, which allows us to group images close in time and to avoid images taken from the same place to compete among them as loop closure candidates. The proposed method is validated using several outdoor public image sequences and compared to other state-of-the-art solutions.

This is a preprint version of publication with DOI: This work is also supported by projects PGC2018-095709-B-C21 (MCIU/AEI/FEDER, UE) and PROCOE/4/2017 (Govern Balear, 50% P.O. FEDER 2014-2020 Illes Balears), and by the ERASMUS+ KA107 mobility program.
Files (192.9 kB)
Name Size
192.9 kB Download
All versions This version
Views 3636
Downloads 6464
Data volume 12.3 MB12.3 MB
Unique views 3535
Unique downloads 6363


Cite as