Name
Abstract | ||
|---|---|---|
The human visual system (HVS) is particularly efficient to detect and identify specific patterns even if incomplete or occluded. For example the HVS is able to determine a circular configuration in a complex scene by reconstructing non-visible parts of the object under study. This paper presents three different ways to recognize circular patterns. Depending on the pattern a circular configuration will be identified if a disk is partially occluded or if several disjoint objects are organized in a circular way. Furthermore, the presented methods can also determine the greatest circle included in a shape or the smallest circle containing one or several shapes. All these methods enable to mimick the HVS behavior concerning circular pattern recognition when combining them to a multiscale approach. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISIVC49222.2021.9487535 | 2020 10th International Symposium on Signal, Image, Video and Communications (ISIVC) |
Keywords | DocType | ISBN |
Circle detection,human visual system,circumscribed circle,inscribed circle,multiscale approach | Conference | 978-1-7281-7669-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frédérique Robert-Inacio | 1 | 0 | 0.34 |
| Eloïse Inacio | 2 | 0 | 0.34 |