A geometry and optical property inspection system for automotive glass based on fringe patterns

• Autorzy: Xu J. , Xi N. , Zhang C. , Shi Q. , Gregory J.
• Języki publikacji: EN

Abstrakty

EN

In this paper, an automotive glass inspection system based on fringe patterns is proposed. This system can inspect the 3D shape, reflection normal and transmission distortion of the automotive glass simultaneously. A stereo vision and an iterative algorithm based on the reflection law of the specular surface are utilized to obtain the 3D shape and reflection normal of the inspected part. Then, the bottom reflection of the glass is analyzed such that the line-shifting fringe pattern, based on step wave, is adopted. Additionally, the transmission distortion is defined as an angle between the incoming ray and the outgoing ray for the inspected automotive glass. The method proposed is simpler and more flexible than traditional methods. Finally, the system accuracy has been examined, with the results demonstrating its high accurate performance.

Słowa kluczowe

EN

specular surface; quality inspection; transmission distortion

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2010
• Tom: Vol. 40, nr 4
• Strony: 827--841
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Xu J.

autor

Xi N.

autor

Zhang C.

autor

Shi Q.

autor

Gregory J.

• Electrical and Computer Engineering Department, Michigan State University, East Lansing, MI, 48824, USA

Bibliografia

• [1] PETRIU E.M., SAKR Z., SPOELDER H.J.W., MOICA A., Object recognition using pseudo-random color encoded structured light, Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, May1–4, 2000, Baltimore, Maryland, USA, pp. 1237–1241.
• [2] CHI ZHANG, NING XI, QUAN SHI, Object-orientated registration method for surface inspection of automotive windshields, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 22–26, 2008, Nice, France, pp. 3553–3558.
• [3] ZHENG J.Y., FUKAGAWA Y., ABE N., 3D surface estimation and model construction from specular motion in image sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence 19(5),1997, pp. 513–520.
• [4] SKYDAN O.A., LALOR M.J., BURTON D.R., 3D shape measurement of automotive glass by using a fringe reflection technique, Measurement Science and Technology 18(1), 2007, pp. 106–114.
• [5] HOROVITZ I., KIRYATI N., Depth from gradient fields and control points: Bias correction in photometric stereo, Image and Vision Computing 22(9), 2004, pp. 681–694.
• [6] HONGWEI GUO, PENG FENG, TAO TAO, Specular surface measurement by using least squares light tracking technique, Optics and Lasers in Engineering 48(2), 2010, pp. 166–171.
• [7] DIN 52305 – STANDARD, Determining the optical distortion and refractive power of safety glazing material for road vehicles, 1995.
• [8] MASI C.G., Moiré interferometry spots windshield defects, Image Processing Europe 5(6), 2002,pp. 22–25.
• [9] PETZ M., TUTSCH R., Reflection grating photogrammetry: A technique for absolute shape measurement of specular free-form surfaces, Proceedings of SPIE 5869, 2005, p. 58691D.
• [10] KNAUER M.C., KAMINSKI J., HAUSLER G., Phase measuring deflectometry: A new approach to measure specular free-form surfaces, Proceedings of SPIE 5457, 2004, pp. 366–376.
• [11] HARTLEY R., ZISSERMAN A., Multiple View Geometry in Computer Vision, 2nd Edition, Cambridge University Press, Cambridge, 2003, pp. 239–259.
• [12] XIANZHU ZHANG, NORTH W.P.T., Analysis of 3-D surface waviness on standard artifacts by retroreflective metrology, Optical Engineering 39(1), 2000, pp. 183–186.A geometry and optical property inspection system... 841
• [13] FISHER R.B., NAIDU D.K., A comparison of algorithms for subpixel peak detection, [In] Image Technology: Advances in Image Processing, Multimedia and Machine Vision, Springer, Berlin,Heidelberg, New York, 1996, pp. 385–404.
• [14] ZHANG Z., A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 2000, pp. 1330–1334.
• [15] CHI ZHANG, NING XI, JING XU, et al., Calibration of a structure light based windshield inspection system, IEEE International Conference on Robotics and Automation (ICRA), May 3–8, 2010,Anchorage, Alaska, USA (in press).