| dc.creator | Lins R.G. | |
| dc.creator | Kurka P.R.G. | |
| dc.date | 2013 | |
| dc.date | 2015-06-25T19:13:51Z | |
| dc.date | 2015-11-26T14:57:29Z | |
| dc.date | 2015-06-25T19:13:51Z | |
| dc.date | 2015-11-26T14:57:29Z | |
| dc.date.accessioned | 2018-03-28T22:09:16Z | |
| dc.date.available | 2018-03-28T22:09:16Z | |
| dc.identifier | 9781467331067 | |
| dc.identifier | Syscon 2013 - 7th Annual Ieee International Systems Conference, Proceedings. , v. , n. , p. 520 - 527, 2013. | |
| dc.identifier | | |
| dc.identifier | 10.1109/SysCon.2013.6549931 | |
| dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-84882951153&partnerID=40&md5=21fd48325ba19e9ba8eab18d5d4445f7 | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/88966 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/88966 | |
| dc.identifier | 2-s2.0-84882951153 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1255655 | |
| dc.description | This paper proposes the architecture of a multi-view cameras system with the purpose of online dimensional measuring of automotive components, specifically crankshafts. The introduction of a measuring vision system in a production line allows the dimensional quality control of all manufactured items, helping to optimize the process. The system consists of six digital cameras, positioned around the object, capturing different perspective images of the product. Processing of the images yields results of precise dimensional measurements of the product. The paper presents the ideas and algorithms used in the proposed measurement system, and virtual images simulation to access its operational and precision characteristics. © 2013 IEEE. | |
| dc.description | | |
| dc.description | | |
| dc.description | 520 | |
| dc.description | 527 | |
| dc.description | Orth, A., (1998) Development and Implementation of A System of Recognition Auto Parts, , Congress of the Brazilian Computer Society | |
| dc.description | Salvi, J., Armangué, X., Battle, J., Comparative review of camera calibrating methods with accuracy evaluation (2002) Pattern Recognition, pp. 1617-1635 | |
| dc.description | Kurka, P.R., Rudek, M., (2005) 3-D Image Signal Processing for Automates Operations Using Range, , XI DYNAME | |
| dc.description | Lowe, D.G., (2004) Distinctive Image Features from Scale-Invariant Keypoints, , Vancouver, B.C., Canadá: University of British Columbia | |
| dc.description | Vedaldi, A., (2002) An Implementation of SIFT Detector and Descriptor, , Los Angeles: University of California at Los Angeles | |
| dc.description | Trucco, E., Verri, A., (1998) Introductory Techniques for 3-D Computer Vision, , Prentice Hall | |
| dc.description | Zhang, Z., A flexible new technique for camera calibration (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1330-1334 | |
| dc.description | Bouguet, J.Y., (1999) Visual Methods for Three-dimensional Modeling, , Pasadena,California.,USA: California Institute of Technology | |
| dc.description | http://www.blender.org, BLENDER 3D. Available in. Access in: 23 jan. 2013http://www.ni.com, LABVIEW. Available in. Access in: 22 jan. 2013 | |
| dc.language | en | |
| dc.publisher | | |
| dc.relation | SysCon 2013 - 7th Annual IEEE International Systems Conference, Proceedings | |
| dc.rights | fechado | |
| dc.source | Scopus | |
| dc.title | Architecture For Multi-camera Vision System For Automated Measurement Of Automotive Components | |
| dc.type | Actas de congresos | |
