Запис Детальніше

Möbius Invariants of Shapes and Images

Vernadsky National Library of Ukraine

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title Möbius Invariants of Shapes and Images
 
Creator Marsland, S.
McLachlan, R.I.
 
Description Identifying when different images are of the same object despite changes caused by imaging technologies, or processes such as growth, has many applications in fields such as computer vision and biological image analysis. One approach to this problem is to identify the group of possible transformations of the object and to find invariants to the action of that group, meaning that the object has the same values of the invariants despite the action of the group. In this paper we study the invariants of planar shapes and images under the Möbius group PSL(2,C), which arises in the conformal camera model of vision and may also correspond to neurological aspects of vision, such as grouping of lines and circles. We survey properties of invariants that are important in applications, and the known Möbius invariants, and then develop an algorithm by which shapes can be recognised that is Möbius- and reparametrization-invariant, numerically stable, and robust to noise. We demonstrate the efficacy of this new invariant approach on sets of curves, and then develop a Möbius-invariant signature of grey-scale images.
 
Date 2019-02-16T09:14:36Z
2019-02-16T09:14:36Z
2016
 
Type Article
 
Identifier Möbius Invariants of Shapes and Images / S. Marsland, R.I. McLachlan // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 43 назв. — англ.
1815-0659
2010 Mathematics Subject Classification: 68T45; 68U10
DOI:10.3842/SIGMA.2016.080
http://dspace.nbuv.gov.ua/handle/123456789/147846
 
Language en
 
Relation Symmetry, Integrability and Geometry: Methods and Applications
 
Publisher Інститут математики НАН України