Abstract
In this paper we describe about use of the projector camera feedback system for shape disparity check of the textured object. Using the negative feedback in the proposed system, we realized real time shape disparity inspection and its visualization at the same time. In the experimental result, we confirmed the system has an ability to distinguish the 2 mm of shape disparity and its response time was 0.2 sec.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Li, Y., Gu, P.: Free-form surface inspection techniques state of the art review. In: Proc. of Computer-Aided Design, vol. 36, pp. 1395–1417 (2004)
Nakamura, K., Edamatsu, K., Sano, Y.: Auto-mated pattern inspection based on boundary length comparison method. In: Proc. International Joint Conference on Pattern Recognition, pp. 955–957 (1978)
Perkins, W.A.: Computer vision inspection of valve spring assemblies on engine heads. General Motors Research Laboratories, GMR-3369 (1980)
Bariani, M., Cucchiara, R., Mello, P., Piccardi, M.: Data mining for automated visual inspection. In: Proc. of PADD 1997, First Int. Conf. Practical Appl. Knowledge Discovery and Data Mining, London, UK, pp. 51–64 (1997); ISBN 0-9525554-7-6
Gunatilake, P., Siegel, M., Jordan, A., Podnar, G.: Image understanding algorithms for remote visual inspection of aircraft surfaces. In: Machine Vis. Appl. Indus Inspection V, vol. 3029, pp. 2–13 (1997)
Serdaroglu, A., Ertuzun, A., Ercil, A.: Defect Detection In Textile Fabric Images Using Wavelet Transforms And Independent Component Analysis. In: Proc. of PRIA 7, pp. 890–893 (2004)
Buisson, O., Bessere, B., Boukir, S., Helt, F.: Deterioration detection for digital film restoration. In: Proc. of Int. Conf. on CVPR, vol. 1, pp. 78–84 (1997)
Bimber, O., Iwai, D.: Superimposing dynamic range. In: Proc. of ACM SIGGRAPH 2008 new tech demos (2008)
Amano, T., Kato, H.: Real World Dynamic Appearance Enhancement with Procam Feedback. In: Proc. of Procams 2008 (2008)
Nayar, S.K., Peri, H., Grossberg, M.D., Belhumeur, P.N.: A projection system with radiometric compensation for screen imperfections. In: Proc. of ICCV Workshop on Projector-Camera Systems (2003)
Fujii, K., Grossberg, M.D., Nayar, S.K.: A Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments. In: Proc. of CVPR 2005, pp. 814–821 (2005)
Ilie, A., Welch, G.: Ensuring color consistency across multiple cameras. In: ICCV 2005: Proceedings of the Tenth IEEE International Conference on Computer Vision, pp. 1268–1275. IEEE Computer Society, Washington (2005)
Ashdown, M., Okabe, T., Sato, I., Sato, Y.: Robust content-dependent photometric projector compensation. In: CVPRW 2006: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop, IEEE Computer Society, Washington (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Amano, T., Kato, H. (2009). Shape Disparity Inspection of the Textured Object and Its Notification by Overlay Projection. In: Shumaker, R. (eds) Virtual and Mixed Reality. VMR 2009. Lecture Notes in Computer Science, vol 5622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02771-0_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-02771-0_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02770-3
Online ISBN: 978-3-642-02771-0
eBook Packages: Computer ScienceComputer Science (R0)