Properties and Applications of the Simplified Generalized Perpendicular Bisector
Identifieur interne : 002649 ( Main/Exploration ); précédent : 002648; suivant : 002650Properties and Applications of the Simplified Generalized Perpendicular Bisector
Auteurs : Aurélie Richard [France] ; Gaëlle Largeteau-Skapin [France] ; Marc Rodríguez [France] ; Eric Andres [France] ; Laurent Fuchs [France] ; Jean-Serge Dimitri Ouattara [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: This paper deals with the Simplified Generalized Perpendicular Bisector (SGBP) presented in [15,1]. The SGPB has some interesting properties that we explore. We show in particular that the SGPB can be used for the recognition and exhaustive parameter estimation of noisy discrete circles. A second application we are considering is the error estimation for a class of rotation reconstruction algorithms.
Url:
DOI: 10.1007/978-3-642-19867-0_25
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: This paper deals with the Simplified Generalized Perpendicular Bisector (SGBP) presented in [15,1]. The SGPB has some interesting properties that we explore. We show in particular that the SGPB can be used for the recognition and exhaustive parameter estimation of noisy discrete circles. A second application we are considering is the error estimation for a class of rotation reconstruction algorithms.</div>
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