RANSAC
CHF 39.40
Auf Lager
SKU
M05TODF4DMK
1 Verfügbar 
Kostenloser Versand ab CHF 50
Geliefert zwischen Mi., 15.10.2025 und Do., 16.10.2025
Details
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. RANSAC is an abbreviation for "RANdom SAmple Consensus". It is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non-deterministic algorithm in the sense that it produces a reasonable result only with a certain probability, with this probability increasing as more iterations are allowed. The algorithm was first published by Fischler and Bolles in 1981.A basic assumption is that the data consists of "inliers", i.e., data whose distribution can be explained by some set of model parameters, and "outliers" which are data that do not fit the model. In addition to this, the data can be subject to noise. The outliers can come, e.g., from extreme values of the noise or from erroneous measurements or incorrect hypotheses about the interpretation of data. RANSAC also assumes that, given a (usually small) set of inliers, there exists a procedure which can estimate the parameters of a model that optimally explains or fits this data.
30 Tage Rückgaberecht
GarantieWeitere Informationen
- Allgemeine Informationen
- GTIN 09786131368493
- Editor Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
- Größe H220mm x B220mm
- EAN 9786131368493
- Titel RANSAC
- Herausgeber Betascript Publishing
- Anzahl Seiten 84
- Genre Mathematik
Bewertungen
Schreiben Sie eine Bewertung
