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Greiner–Hormann clipping algorithm

Known as: Greiner-Hormann clipping algorithm 
The Greiner-Hormann algorithm is used in computer graphics for polygon clipping. It is more performant than the Vatti clipping algorithm, but cannot… 
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Related topics

Related topics

7 relations
Boolean operations on polygonsClipping (computer graphics)Data-Driven Documents (D3.js)Even–odd rule

Broader (1)

Computer graphics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A comparison between extended Floater–Hormann interpolants and trigonometric interpolation
In this note we present a broad comparison between trigonometric interpolation and a specific version of extended Floater–Hormann… 
2017
2017
Improved conditioning of the Floater--Hormann interpolants
The Floater--Hormann family of rational interpolants do not have spurious poles or unattainable points, are efficient to… 
Review
2017
Review
2017
Cotrimoxazole-induced Methemoglobinemia
1. National Nutrition Monitoring Bureau. Diet and Nutritional Status of Rural Population, Prevalence of Hypertension and Diabetes… 
2016
2016
Replication of Ambrus & Greiner 2012
2010
2010
Routing Protocol with Unavailable Nodes in Wireless Sensor Networks
With the rapid development of modern microelectronic technology, wireless communication technology, signal processing technology… 
2009
2009
Claudia Greiner, Die Peuketia. Kultur und Kulturkontakte in Mittelapulien vom 8. bis 5. Jh. v. Chr., 2003
2008
2008
Oenothera, a unique model to study the role of plastids in speciation
The subject of this thesis was to develop molecular approaches appropriate to investigate speciation processes. The genus… 
Review
2007
Review
2007
Running head : PERSONALITY ASSESSMENTS AS PREDICTORS Personality Assessments as Predictors of Success During Flight Training and Operational Flying
Due to the high costs associated with flight training, pilot candidates must obviously be chosen using the most effective means… 
2006
2006
Anytime Induction of Decision Trees: An Iterative Improvement Approach
Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are… 
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