Model-driven sketch reconstruction with structure-oriented retrieval

Lei Li, Zhe Huang, C. Zou, Chiew-Lan Tai, Rynson W. H. Lau, Hao Zhang, P. Tan, Hongbo Fu
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引用次数: 10

Abstract

We propose an interactive system that aims at lifting a 2D sketch into a 3D sketch with the help of existing models in shape collections. The key idea is to exploit part structure for shape retrieval and sketch reconstruction. We adopt sketch-based shape retrieval and develop a novel matching algorithm which considers structure in addition to traditional shape features. From a list of retrieved models, users select one to serve as a 3D proxy, providing abstract 3D information. Then our reconstruction method transforms the sketch into 3D geometry by back-projection, followed by an optimization procedure based on the Laplacian mesh deformation framework. Preliminary evaluations show that our retrieval algorithm is more effective than a state-of-the-art method and users can create interesting 3D forms of sketches without precise drawing skills.
面向结构检索的模型驱动草图重建
我们提出了一个交互式系统,旨在借助形状集合中的现有模型将2D草图提升为3D草图。关键思想是利用零件结构进行形状检索和草图重建。采用基于草图的形状检索方法,在考虑传统形状特征的基础上,提出了一种考虑结构特征的匹配算法。从检索到的模型列表中,用户选择一个作为3D代理,提供抽象的3D信息。然后通过反投影将草图转化为三维几何图形,再进行基于拉普拉斯网格变形框架的优化。初步评估表明,我们的检索算法比最先进的方法更有效,用户可以在没有精确绘图技能的情况下创建有趣的3D形式的草图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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