NDLI: Semi-automatic Extraction of Parametric Characteristic Features from Images

Content Provider	IEEE Xplore Digital Library
Author	Baojun Li Xiuping Liu Qingbao Li Chong Liu Mingzeng Liu Ping Hu
Copyright Year	2012
Abstract	In order to extract exact characteristic features for industrial design, this paper proposed a novel semi-automatic approach for abstracting high quality parametric contours from images. Using prior knowledge and parameterized feature template for given objects, our method combines global matching/ morphing with hierarchical part-based approximation. The method starts from construction of parametric templates associated target object. Through contour detection preprocessing and template retrieval, we obtain the exact morphable feature template. Combining edge-oriented contour detection, corner detection and local prior template, the exact endpoints and curve segments are obtained. Finally, the segmented parametric feature lines are automatically fitted using cubic B¡äezier curves. Taking car body design as numerical examples, we establish the corresponding database. Numerical results show that our method is effective to abstract the design features with high precision for car styling.
Starting Page	340
Ending Page	345
File Size	810438
Page Count	6
File Format	PDF
ISBN	9781467313483
DOI	10.1109/ICDH.2012.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Characteristic lines Solid modeling Image segmentation Shape Computational modeling Parametric representation Wheels Contour detection Feature extraction Template-based Vehicles Semi-automatic extraction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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