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Abstract

We present a method for virtual unrolling of a thin rolled object. From a volumetric image of the rolled object we obtain a flat image of the object’s surface, which allows visual
inspection of the object and has a number of applications. Our method exploits the geometric constrains of the problem and detects a single rolled surface. For surface detection we adapt a solution to an optimal net surface problem, previously used for terrain-like and tubular surfaces. We present our approach on an example of a rolled sheet of microelectronic, which has a layer of flexible polymer substrate and a thin metal layer lithographically coated onto the polymer. Our approach is automatic and robust. The unrolled image is undistorted, and the surface structures may be accurately quantified making our approach a good candidate for an industrial application of virtual unrolling
Original languageEnglish
Title of host publicationProceedings of 24th International Conference on Pattern Recognition
Number of pages7
PublisherIEEE
Publication date2018
Pages3074-3080
ISBN (Electronic)978-1-5386-3788-3
DOIs
Publication statusPublished - 2018
Event24th International Conference on Pattern Recognition - China National Convention Center, Beijing , China
Duration: 20 Aug 201824 Aug 2018
http://www.icpr2018.org/

Conference

Conference24th International Conference on Pattern Recognition
LocationChina National Convention Center
CountryChina
CityBeijing
Period20/08/201824/08/2018
Internet address
SeriesInternational Conference on Pattern Recognition
ISSN1051-4651

Cite this

Dahl, V. A., Dahl, A. B., Trinderup, C. H., & Gundlach, C. (2018). Layered Surface Detection for Virtual Unrolling. In Proceedings of 24th International Conference on Pattern Recognition (pp. 3074-3080). IEEE. International Conference on Pattern Recognition https://doi.org/10.1109/ICPR.2018.8545715