Skip to main content
Top

2020 | OriginalPaper | Chapter

A Practical Approach to Camera Calibration for Part Alignment for Hybrid Additive Manufacturing Using Computer Vision

Authors : Pallavi Kulkarni, Atul Magikar, Tejas Pendse

Published in: Intelligent Manufacturing and Energy Sustainability

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Additive manufacturing (AM) is a process that involves building up thin layers of material, one by one creating a three-dimensional object from a digital file. The technology can produce complex shapes that are not possible with traditional casting and machining methods, or subtractive techniques. Hybrid AM is the process in which the AM process takes place on an existing part in the AM chamber. The existing part could have been manufactured by the traditional subtractive manufacturing process. The powder bed fusion process includes the following commonly used printing techniques such as direct metal laser sintering, electron beam melting, selective heat sintering, selective laser melting (SLM) and selective laser sintering (SLS). Laser sintering requires a scan path by which the laser travels and welds the metal powder to form layers over layers. Computer vision can help to locate the part on which the laser has to be fired. Camera calibration is one of the techniques in computer vision by which the world (object) 3D coordinates are converted into 2D image coordinates. Practically, it becomes essential to know the exact position of the camera, i.e., camera intrinsic. Camera calibration technique provides camera intrinsic and gives out extrinsic, i.e., 2D coordinates.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Harun, W.S.W., Kamariah, M.S.I.N., Muhamad, N., Ghani, S.A.C., Ahmad, F., Mohamed, Z.: A Review of Powder Additive Manufacturing Processes for Metallic Biomaterials, pp. 128–151 (2018) Harun, W.S.W., Kamariah, M.S.I.N., Muhamad, N., Ghani, S.A.C., Ahmad, F., Mohamed, Z.: A Review of Powder Additive Manufacturing Processes for Metallic Biomaterials, pp. 128–151 (2018)
2.
go back to reference Majid, S.: Accurate camera calibration algorithm for laser applications: the first international conference on Laser applications and advanced materials, university of technology. Majid, S.: Accurate camera calibration algorithm for laser applications: the first international conference on Laser applications and advanced materials, university of technology.
3.
go back to reference Sonka, M., et al.: Image Processing Analysis, and Machine Vision, 3rd edn (2013) Sonka, M., et al.: Image Processing Analysis, and Machine Vision, 3rd edn (2013)
4.
go back to reference Zhang, Z.: A flexible new technique for camera calibration. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, no. 11, pp. 1330–1334. Nov (2000) Zhang, Z.: A flexible new technique for camera calibration. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, no. 11, pp. 1330–1334. Nov (2000)
5.
go back to reference The OpenCV Reference Manual Release 3.0.0-dev, June 25, 2014 The OpenCV Reference Manual Release 3.0.0-dev, June 25, 2014
6.
go back to reference Chatterjee, C., Roychowdhury, V.P.: Algorithms for coplanar camera calibration. Mach Vision Appl. 12, 84–97 Chatterjee, C., Roychowdhury, V.P.: Algorithms for coplanar camera calibration. Mach Vision Appl. 12, 84–97
7.
go back to reference Weng, J.: Camera calibration with distortion models and accuracy evaluation. 14 (1992) Weng, J.: Camera calibration with distortion models and accuracy evaluation. 14 (1992)
8.
go back to reference Shang, Y., Yu, Q., Zhang, X.: Analytical method for camera calibration from a single image with four coplanar control lines (2004) Shang, Y., Yu, Q., Zhang, X.: Analytical method for camera calibration from a single image with four coplanar control lines (2004)
9.
go back to reference Mottaa, J.M.S.T., de Carvalhob,G.C., Mc Masterc, R.S.: Robot calibration using a 3D vision-based measurement system with a single camera. Robot. Comput-Integr. Manufact. 1(6), 87–497 (2001) Mottaa, J.M.S.T., de Carvalhob,G.C., Mc Masterc, R.S.: Robot calibration using a 3D vision-based measurement system with a single camera. Robot. Comput-Integr. Manufact. 1(6), 87–497 (2001)
10.
go back to reference Park, M.-S., Kwon, J.-W., Park, M.H., Kin, J.S., Hong, S.-K., Han, S.W.: Experimental study on camera calibration and pose estimation for the application to vehicle’s wheel alignment. In: SICE-ICASE International Joint Conference, pp. 2952–2957. IEEE, Busan (2006) Park, M.-S., Kwon, J.-W., Park, M.H., Kin, J.S., Hong, S.-K., Han, S.W.: Experimental study on camera calibration and pose estimation for the application to vehicle’s wheel alignment.  In: SICE-ICASE International Joint Conference, pp. 2952–2957. IEEE, Busan (2006)
11.
go back to reference Song, L.M., et al.: High precision camera calibration in vision measurement. Opt. Laser Technol. 39, 1413–1420 (2007) Song, L.M., et al.: High precision camera calibration in vision measurement. Opt. Laser Technol. 39, 1413–1420 (2007)
12.
go back to reference Tsai, R.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses 323–344 (1987) Tsai, R.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses 323–344 (1987)
13.
go back to reference Malay Pakhira, K.: Digital Image Processing And Pattern Recognition (2011) Malay Pakhira, K.: Digital Image Processing And Pattern Recognition (2011)
14.
go back to reference Heikkila, J., Silven, O.: A Four-step Camera Calibration Procedure with Implicit Image Correction. IEEE, pp. 1106–1112 (1997) Heikkila, J., Silven, O.: A Four-step Camera Calibration Procedure with Implicit Image Correction. IEEE, pp. 1106–1112 (1997)
15.
go back to reference Kaehler, A., Bradski, G.: Learning OpenCV 3 (2016) Kaehler, A., Bradski, G.: Learning OpenCV 3 (2016)
Metadata
Title
A Practical Approach to Camera Calibration for Part Alignment for Hybrid Additive Manufacturing Using Computer Vision
Authors
Pallavi Kulkarni
Atul Magikar
Tejas Pendse
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-1616-0_21

Premium Partners