Data-Driven Suggestions for Creativity Support in 3D Modeling

被引：136

作者：

Chaudhuri, Siddhartha ^{[1
]}

Koltun, Vladlen ^{[1
]}

机构：

[1] Stanford Univ, Stanford, CA 94305 USA

来源：

ACM TRANSACTIONS ON GRAPHICS | 2010年 / 29卷 / 06期

关键词：

data-driven 3D modeling; creativity support; shape analysis; interaction; TOOLS;

D O I：

10.1145/1866158.1866205

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We introduce data-driven suggestions for 3D modeling. Data-driven suggestions support open-ended stages in the 3D modeling process, when the appearance of the desired model is ill-defined and the artist can benefit from customized examples that stimulate creativity. Our approach computes and presents components that can be added to the artist's current shape. We describe shape retrieval and shape correspondence techniques that support the generation of data-driven suggestions, and report preliminary experiments with a tool for creative prototyping of 3D models.

引用

页数：9

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