کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
441928 692022 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design
چکیده انگلیسی


• A sketch-based semantic feature modeling prototype system – Sketch2Jewelry is proposed for jewelry design.
• A semantic feature classes are augmented with oriented relations, procedural rules, and shape descriptors to support sketches.
• The rich semantics are applied to semantic feature retrieval and instantiation.

Sketch-based modeling has attracted considerable attention in recent years. In this paper, we propose a semantic feature modeling system for sketch-based jewelry design, called blue Sketch2Jewelry. The newly devised semantic feature class encodes specific domain knowledge (jewelry design knowledge in this paper) and supplies prolific semantic information. The advantage of using semantic features is to narrow down the searching space in sketch-based feature retrieval and benefits the parameter selection from input sketches for feature instantiation and feature placement. Thus, the inaccuracy and ambiguity problems of freehand sketch inputs are alleviated within Sketch2Jewelry, compared to previous commercial feature-based modeling tools, e.g. SolidWorks, which are limited to fake sketches (i.e. not real freehand inputs). Since semantic features are high-level building blocks, together with sketch inputs, the proposed Sketch2Jewelry system can significantly improve the jewelry design efficiency. In addition, Sketch2Jewelry allows non-experts to sketch a complex jewelry model naturally and efficiently with design-by-feature. Examples are provided to demonstrate its usefulness.

Overview of Sketch2Jewelry.Figure optionsDownload high-quality image (137 K)Download as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Graphics - Volume 38, February 2014, Pages 69–77
نویسندگان
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