Title: | Geometric Feature Deletion Through Freeform Feature Recognition |
Authors: | Langerak, Thomas R. |
Citation: | WSCG '2008: Full Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, University of West Bohemia Plzen, Czech Republic, February 4 - 7, 2008, p. 199-206. |
Issue Date: | 2008 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2008/Papers_2008/full/!_WSCG2008_Full_final.zip http://hdl.handle.net/11025/10938 |
ISBN: | 978-80-86943-15-2 |
Keywords: | rozpoznávání prvků;vymazání prvků;geometrické prvky |
Keywords in different language: | feature recognition;feature deletion;freeform features;geometric features |
Abstract: | The deletion of geometric features is a much used operation in the process of shape modeling; by deleting geometric features, the smoothness of a surface can be increased. In this paper, a new method is presented for the deletion of geometric features, which is based on a morphological understanding of the feature. The method first parameterizes the feature and then deletes it using a parameter-based shape manipulation. The advantage of this new method is that a geometric feature can be deleted while maintaining the semantics of both the feature and its embedding shape. To be able to parameterize the feature, an improved version of an existing evolutionary feature recognition procedure is developed, which constructs a feature template that matches a feature on the target model. Application examples are given and the robustness of the method is discussed. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2008: Full Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Langerak.pdf | Plný text | 393,8 kB | Adobe PDF | View/Open |
Langerak_prezentace.ppt | Plný text | 359,5 kB | Microsoft Powerpoint | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/10938
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.