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Article: A robust surface coding method for optically challenging objects using structured light

TitleA robust surface coding method for optically challenging objects using structured light
Authors
KeywordsEncoding and decoding
structured light
intensity mask
internal reflection
optically challenging objects
Issue Date2014
Citation
IEEE Transactions on Automation Science and Engineering, 2014, v. 11, n. 3, p. 775-778 How to Cite?
AbstractThough the structured light measurement system has been successfully applied to the profile measurement of diffuse objects, it is still a challenge to measure shiny objects due to the mix of both specular and diffuse reflections. To this end, we propose a robust encoding and decoding method in this paper. First, the monochromatic stripe patterns are utilized to eliminate the effect of texture and color of objects. Second, an intensity mask, dynamically adjusting the intensity of a projected pattern, is applied to avoid overexposure without any pre-knowledge of the workpiece. Thus, it is more flexible and efficient, compared with the existing methods. Third, to solve the internal reflection of the shiny part, an extrapolation model, combined with the intensity mask, is developed to detect the stripe edge for pattern decoding, resulting in accurate and robust 3D reconstruction. Compared with traditional polarization based methods, it does not need to readjust for a new part. The experimental results show that the proposed method is capable of measuring various parts without surface pretreatment. © 2004-2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213418
ISSN
2015 Impact Factor: 2.696
2015 SCImago Journal Rankings: 1.832

 

DC FieldValueLanguage
dc.contributor.authorZhang, Chi-
dc.contributor.authorXu, Jing-
dc.contributor.authorXi, Ning-
dc.contributor.authorZhao, Jianguo-
dc.contributor.authorShi, Quan-
dc.date.accessioned2015-07-28T04:07:13Z-
dc.date.available2015-07-28T04:07:13Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Automation Science and Engineering, 2014, v. 11, n. 3, p. 775-778-
dc.identifier.issn1545-5955-
dc.identifier.urihttp://hdl.handle.net/10722/213418-
dc.description.abstractThough the structured light measurement system has been successfully applied to the profile measurement of diffuse objects, it is still a challenge to measure shiny objects due to the mix of both specular and diffuse reflections. To this end, we propose a robust encoding and decoding method in this paper. First, the monochromatic stripe patterns are utilized to eliminate the effect of texture and color of objects. Second, an intensity mask, dynamically adjusting the intensity of a projected pattern, is applied to avoid overexposure without any pre-knowledge of the workpiece. Thus, it is more flexible and efficient, compared with the existing methods. Third, to solve the internal reflection of the shiny part, an extrapolation model, combined with the intensity mask, is developed to detect the stripe edge for pattern decoding, resulting in accurate and robust 3D reconstruction. Compared with traditional polarization based methods, it does not need to readjust for a new part. The experimental results show that the proposed method is capable of measuring various parts without surface pretreatment. © 2004-2012 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Automation Science and Engineering-
dc.subjectEncoding and decoding-
dc.subjectstructured light-
dc.subjectintensity mask-
dc.subjectinternal reflection-
dc.subjectoptically challenging objects-
dc.titleA robust surface coding method for optically challenging objects using structured light-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TASE.2013.2293576-
dc.identifier.scopuseid_2-s2.0-84904318767-
dc.identifier.volume11-
dc.identifier.issue3-
dc.identifier.spage775-
dc.identifier.epage778-

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