ISCAS OpenIR
User-Adaptive Sketch-Based 3-D CAD Model Retrieval
Liu, Yong-Jin; Luo, Xi; Joneja, Ajay; Ma, Cui-Xia; Fu, Xiao-Lan; Song, Dawei
2013
SourceIEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN1545-5955
Volume10Issue:3Pages:783-795
English Abstract3-D CAD models are an important digital resource in the manufacturing industry. 3-D CAD model retrieval has become a key technology in product lifecycle management enabling the reuse of existing design data. In this paper, we propose a new method to retrieve 3-D CAD models based on 2-D pen-based sketch inputs. Sketching is a common and convenient method for communicating design intent during early stages of product design, e. g., conceptual design. However, converting sketched information into precise 3-D engineering models is cumbersome, and much of this effort can be avoided by reuse of existing data. To achieve this purpose, we present a user-adaptive sketch-based retrieval method in this paper. The contributions of this work are twofold. First, we propose a statistical measure for CAD model retrieval: the measure is based on sketch similarity and accounts for users' drawing habits. Second, for 3-D CAD models in the database, we propose a sketch generation pipeline that represents each 3-D CAD model by a small yet sufficient set of sketches that are perceptually similar to human drawings. User studies and experiments that demonstrate the effectiveness of the proposed method in the design process are presented.; 3-D CAD models are an important digital resource in the manufacturing industry. 3-D CAD model retrieval has become a key technology in product lifecycle management enabling the reuse of existing design data. In this paper, we propose a new method to retrieve 3-D CAD models based on 2-D pen-based sketch inputs. Sketching is a common and convenient method for communicating design intent during early stages of product design, e. g., conceptual design. However, converting sketched information into precise 3-D engineering models is cumbersome, and much of this effort can be avoided by reuse of existing data. To achieve this purpose, we present a user-adaptive sketch-based retrieval method in this paper. The contributions of this work are twofold. First, we propose a statistical measure for CAD model retrieval: the measure is based on sketch similarity and accounts for users' drawing habits. Second, for 3-D CAD models in the database, we propose a sketch generation pipeline that represents each 3-D CAD model by a small yet sufficient set of sketches that are perceptually similar to human drawings. User studies and experiments that demonstrate the effectiveness of the proposed method in the design process are presented.
Indexed TypeSCI
Keyword3-d Cad Model Retrieval Conceptual Design Sketch Generation Sketch Similarity
Department[Liu, Yong-Jin; Luo, Xi] Tsinghua Univ, Dept Comp Sci & Technol, TNList, Beijing 100084, Peoples R China. [Joneja, Ajay] Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China. [Ma, Cui-Xia] Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China. [Fu, Xiao-Lan] Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China. [Song, Dawei] Tianjin Univ, Dept Comp Sci & Technol, Tianjin 300072, Peoples R China. [Song, Dawei] Open Univ, Dept Comp, Milton Keynes MK7 6AA, Bucks, England.
Language英语
WOS IDWOS:000321339200029
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16925
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Liu, Yong-Jin,Luo, Xi,Joneja, Ajay,et al. User-Adaptive Sketch-Based 3-D CAD Model Retrieval[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2013,10(3):783-795.
APA Liu, Yong-Jin,Luo, Xi,Joneja, Ajay,Ma, Cui-Xia,Fu, Xiao-Lan,&Song, Dawei.(2013).User-Adaptive Sketch-Based 3-D CAD Model Retrieval.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,10(3),783-795.
MLA Liu, Yong-Jin,et al."User-Adaptive Sketch-Based 3-D CAD Model Retrieval".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 10.3(2013):783-795.
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