Adaptive geometry image

We present a novel post-processing utility called adaptive geometry image (AGIM) for global parameterization techniques that can embed a 3D surface onto a rectangular1 domain. This utility first converts a single rectangular parameterization into many different tessellations of square geometry image...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 14(2008), 4 vom: 10. Juli, Seite 948-60
1. Verfasser: Yao, Chih-Yuan (VerfasserIn)
Weitere Verfasser: Lee, Tong-Yee
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
LEADER 01000caa a22002652c 4500
001 NLM179453416
003 DE-627
005 20250209111543.0
007 cr uuu---uuuuu
008 231223s2008 xx |||||o 00| ||eng c
024 7 |a 10.1109/TVCG.2008.39  |2 doi 
028 5 2 |a pubmed25n0598.xml 
035 |a (DE-627)NLM179453416 
035 |a (NLM)18467767 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Yao, Chih-Yuan  |e verfasserin  |4 aut 
245 1 0 |a Adaptive geometry image 
264 1 |c 2008 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 22.07.2008 
500 |a Date Revised 09.05.2008 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a We present a novel post-processing utility called adaptive geometry image (AGIM) for global parameterization techniques that can embed a 3D surface onto a rectangular1 domain. This utility first converts a single rectangular parameterization into many different tessellations of square geometry images(GIMs) and then efficiently packs these GIMs into an image called AGIM. Therefore, undersampled regions of the input parameterization can be up-sampled accordingly until the local reconstruction error bound is met. The connectivity of AGIM can be quickly computed and dynamically changed at rendering time. AGIM does not have T-vertices, and therefore no crack is generated between two neighboring GIMs at different tessellations. Experimental results show that AGIM can achieve significant PSNR gain over the input parameterization, AGIM retains the advantages of the original GIM and reduces the reconstruction error present in the original GIM technique. The AGIM is also for global parameterization techniques based on quadrilateral complexes. Using the approximate sampling rates, the PolyCube-based quadrilateral complexes with AGIM can outperform state-of-the-art multichart GIM technique in terms of PSNR 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Lee, Tong-Yee  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1996  |g 14(2008), 4 vom: 10. Juli, Seite 948-60  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnas 
773 1 8 |g volume:14  |g year:2008  |g number:4  |g day:10  |g month:07  |g pages:948-60 
856 4 0 |u http://dx.doi.org/10.1109/TVCG.2008.39  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 14  |j 2008  |e 4  |b 10  |c 07  |h 948-60