日本計算機統計学会シンポジウム論文集
Online ISSN : 2189-583X
Print ISSN : 2189-5813
ISSN-L : 2189-5813
会議情報
Interval prediction of 3D body shapes by semantic values using regression model(Session 1a)
Sayaka ImaiFumitake Sakaori
著者情報
会議録・要旨集 フリー

p. 65-66

詳細
抄録
Recently, human body modeling or human pose modeling is a hot topic in many studies. Several statistical methods have been proposed for biometrical analysis and computer graphics, and few works for apparel. In this study, we propose a statistical method which reconstructs human body shapes from height or various semantic values, e.g., height, waist-girth and chest girth, and takes dispersion of human body shapes into account using principal component analysis and regression model.
著者関連情報
© 2011 日本計算機統計学会
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