Photo-Inspired Model-Driven 3D Object Modeling

Kai Xu, Hanlin Zheng, Ligang Liu, Daniel Cohen-Or, Hao Zhang, Yueshan Xiong, Kai Xu

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce an algorithm for 3D object modeling where the user draws creative inspiration from an object captured in a single photograph. Our method leverages the rich source of photographs for creative 3D modeling. However, with only a photo as a guide, creating a 3D model from scratch is a daunting task. We support the modeling process by utilizing an available set of 3D candidate models. Specifically, the user creates a digital 3D model as a geometric variation from a 3D candidate. Our modeling technique consists of two major steps. The first step is a user-guided image-space object segmentation to reveal the structure of the photographed object. The core step is the second one, in which a 3D candidate is automatically deformed to fit the photographed target under the guidance of silhouette correspondence. The set of candidate models have been pre-analyzed to possess useful high-level structural information, which is heavily utilized in both steps to compensate for the ill-posedness of the analysis and modeling problems based only on content in a single image. Equally important, the structural information is preserved by the geometric variation so that the final product is coherent with its inherited structural information readily usable for subsequent model refinement or processing.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalACM Transactions on Graphics
Volume30
Issue number4
DOIs
StatePublished - 1 Jul 2011

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

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