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Properties and applications of the simplified generalized perpendicular bisector

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6607 LNCS 296-307
DOI: 10.1007/978-3-642-19867-0_25
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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. © 2011 Springer-Verlag.

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Richard, A., Largeteau-Skapin, G., Rodríguez, M., Andres, E., Fuchs, L., & Ouattara, J. S. D. (2011). Properties and applications of the simplified generalized perpendicular bisector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6607 LNCS, pp. 296–307). https://doi.org/10.1007/978-3-642-19867-0_25

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