Abstract
In this paper, there is introduced an approach to surface reconstruction of an object captured by one grayscale camera with a small resolution. The proposed solution expects a rectangular grid being projected onto the object and the camera capturing the situation from position different to the grid projector position. The crucial part of the method is exact detection of the grid. The structure of the grid is identified by the centers of the inner space between its lines. The reconstruction process itself is based on a simple math of perspective projection of the captured image. Due to the small resolution of the image some errors arise during object surface reconstruction. We proposed a correction of the calculated coordinates, which is a simple one-dimensional function depending on the distance from the camera. The method performs very well as the results in conjunction with the precision evaluation indicate at the end of the paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mohr, R., Quan, L., Veillon, F.: Relative 3D Reconstruction Using Multiple Uncalibrated Images. The International Journal of Robotics Research 14, 619–632 (1995)
Luvoie, P., Ionescu, D., Petriu, E.: 3D reconstruction using an uncalibrated stereo pair of encoded images. In: Proceedings of International Conference on Image Processing, pp. 859–862 (1996)
Pedersini, F., Sarti, A., Tubaro, S.: Multi-Camera Acquisitions for High-Accuracy 3D Reconstruction. In: Koch, R., Van Gool, L. (eds.) SMILE 1998. LNCS, vol. 1506, pp. 124–138. Springer, Heidelberg (1998)
Saxena, A., Chung, S.H., Ng, A.Y.: 3-D Depth Reconstruction from a Single Still Image. International Journal of Computer Vision 76, 53–69 (2008)
Saxena, A., Sun, M., Ng, A.Y.: Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009)
Park, I.K., Zhang, H., Vezhnevets, V., Choh, H.-K.: Image-based Photorealistic 3-D Face Modeling. In: Proceedings of Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 49–54 (2004)
Garcia, E., Dugelay, J.-L.: Low cost 3D face acquisition and modeling. In: Proceedings of International Conference on Information Technology: Coding and Computing, pp. 657–661 (2001)
Lavoie, P., Ionescu, D., Petriu, E.: A high precision 3D object reconstruction method using a colorcoded grid and NURBS. In: Proceedings of International Conference on Image Analysis and Processing, pp. 370–375 (1999)
Saito, H., Kanade, T.: Shape Reconstruction in Projective Grid Space from Large Number of Images. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1999)
Pages, J., Salvi, J., Matabosch, C.: Implementation of a robust coded structured light technique for dynamic 3D measurements. In: Proceedings of International Conference on Image Processing (2003)
Pagès, J., Salvi, J.: Coded light projection techniques for 3D reconstruction. J3eA 4 (2005)
Ababsa, F., Roussel, D., Mallem, M.: Structured light 3D free form recovering with sub-pixel precision. Machine Graphics & Vision International Journal 12, 453–476 (2003)
Dipanda, A., Woo, S.: Towards a real-time 3D shape reconstruction using a structured light system. Pattern Recognition 38 (2005)
Shi, L., Yang, X., Pan, H.: 3-D Face Modeling from Two Views and Grid Light. In: Roli, F., Vitulano, S. (eds.) ICIAP 2005. LNCS, vol. 3617, pp. 994–1001. Springer, Heidelberg (2005)
Lee, K., Wong, K., Or, S., Fung, Y.: 3D Face Modeling from Perspective-Views and Contour-Based Generic-Model. Real-Time Imaging 7, 173–182 (2001)
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
Dvorak, R., Drahansky, M., Orsag, F. (2009). Object Surface Reconstruction from One Camera System. In: Lee, Yh., Kim, Th., Fang, Wc., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2009. Lecture Notes in Computer Science, vol 5899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10509-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-10509-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10508-1
Online ISBN: 978-3-642-10509-8
eBook Packages: Computer ScienceComputer Science (R0)