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001-es BibID:	BIBFORM009796
Első szerző:	Hajdu András (matematikus, informatikus)
Cím:	Object subsampling strategies to improve computational performance / András Hajdu, Péter Veres, Attila Tanács, Roland Harangozó
Dátum:	2009
Megjegyzések:	We investigate object simplification methods based on Centroidal Voronoi Tesselation (CVT) that share the possibility of great speed-ups in various scenarios. We propose Constrained CVT to sample points from the object boundary and the Region-based CVT to be able to subsample lower dimensional objects, as well. Moreover we introduce custom weight functions based on object properties. Thus, wecan be more specific on what are the important parts of the subsampled object. We also list several novel applications corresponding to the theoretical achivements presented. The advantages of applying the subsampling strategies are presented for registration, human detection, and the segmentation of the retinal vascular system, respectively. Quantitative results are shown to check the deterioration of the accuracy with the level of subsampling, and the computational gain. We also make comparisons with other naive (e.g. random) subsampling methods.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok konferenciacikk
Megjelenés:	IEEE 6th International Symposium on Image and Signal Processing and Analysis (ISPA2009), 16-19 September 2009, Salzburg, Austria. - 6 (2009), p. 448-453. -
További szerzők:	Veres Péter Tanács Attila Harangozó Roland
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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