Interval prediction of 3D body shapes by semantic values using regression model(Session 1a)

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概要

• 論文の詳細を見る

• 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.

• 日本計算機統計学会の論文
• 2011-11-11

著者

• Sakaori Fumitake

  Faculty Of Science And Engineering Chuo University

• Imai Sayaka

  Graduate School Of Science And Engineering Chuo University

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• Interval prediction of 3D body shapes by semantic values using regression model(Session 1a)

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