Lei Li, Zhe Huang, C. Zou, Chiew-Lan Tai, Rynson W. H. Lau, Hao Zhang, P. Tan, Hongbo Fu
{"title":"Model-driven sketch reconstruction with structure-oriented retrieval","authors":"Lei Li, Zhe Huang, C. Zou, Chiew-Lan Tai, Rynson W. H. Lau, Hao Zhang, P. Tan, Hongbo Fu","doi":"10.1145/3005358.3005372","DOIUrl":null,"url":null,"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.","PeriodicalId":242138,"journal":{"name":"SIGGRAPH ASIA 2016 Technical Briefs","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH ASIA 2016 Technical Briefs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3005358.3005372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.