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Title:
User-Adaptive Sketch-Based 3-D CAD Model Retrieval
Author: Liu, Yong-Jin ; Luo, Xi ; Joneja, Ajay ; Ma, Cui-Xia ; Fu, Xiao-Lan ; Song, Dawei
Keyword: 3-D CAD model retrieval ; conceptual design ; sketch generation ; sketch similarity
Source: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
Issued Date: 2013
Volume: 10, Issue:3, Pages:783-795
Indexed Type: SCI
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.
Abstract: 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.
English Abstract: 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.
Language: 英语
WOS ID: WOS:000321339200029
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16925
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
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,2013-01-01,10(3):783-795.
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