Title :
Parametric compression of geometric data on the basis of generative models
Author :
Gantsetseg, B. ; Pischinskaya, O.V. ; Frolovsky, V.D.
Author_Institution :
Novosibirsk State Tech. Univ., Novosibirsk
Abstract :
The paper considers the task of generation authentic anthropometric and anatomic mannequins with different characteristic (various disabled types). The method is based on deformations of basic model, i.e. the method of generative models is used.
Keywords :
object detection; object recognition; object-oriented methods; generative models; geometric data; parametric compression; symmetrical bearing; Biological system modeling; Breast; Buttocks; Deformable models; Humans; Measurement standards; Pelvis; Shape; Solid modeling; Thorax; asymmetrical bearing; generative models; mannequin; parameterization; symmetrical bearing;
Conference_Titel :
Strategic Technology, 2007. IFOST 2007. International Forum on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4244-3589-0
Electronic_ISBN :
978-1-4244-1831-2
DOI :
10.1109/IFOST.2007.4798616
