Complete 3D Modeling from Rotational Devices

Abstract:

For acquisition of complete 3D models, this paper uses a rotational device to capture a set of image sequences. A direct projective reconstruction method is proposed by linear transformation, which can avoid getting corresponding points in more than two images. Actually, projective reconstructions are obtained from two neighboring images and the reconstructions are combined with the common 3D points. Finally, all reconstructions are merged into the initial one to construct a complete model. Several practical experiments have been carried out to validate the accuracy of the method.

• Periodical: Advanced Materials Research (Volumes 317-319)
• Pages: 843-846
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.317-319.843
• Online since: August 2011
• Authors: Sheng Yong Chen, Da Wei Liu, Xiao Yan Wang, Wei Huang, Qiu Guan
• Keywords: 3D Model, Advanced Design, Computer Vision, Image Sequences, Rotational Device

References

[1] C. Tomasi and T. Kanade: International Journal of Computer Vision, vol. 9, no. 2, pp.137-154. (1992)

[2] Y. Wan and Z. Miao, in: Proceedings of 2009 International Conference on Digital Image Processing, pp.163-166. (2009)

[3] W.-Z. Zhang, Z.-K. Pan, Y. Wang, in: Proceedings of the 7th International Conference on Machine Learning and Cybernetics, vol. 5, pp.3011-3016. (2008)

[4] G. Wang and Q. M. Jonathan: IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, pp.1793-1803. (2009)

[5] Z. Chen, C.-H. Wu, W.-C. Chen, in: 2008 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, pp.305-308. (2008)

DOI: 10.1109/3dtv-con13624.2008

[6] T. Kanade and D. Morris: Philosophical Transactions of the Royal Society of London, vol. A, no. 356, p.1,153-1,173. (1998)

[7] J. Oliensis and R. Hartley: IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no.12, p.2217–2233. (2007)

DOI: 10.1109/tpami.2007.1132

[8] P. Marc, V.G. Luc, V. Maarten, V. Frank, C. Kurt, T. Jan, K. Reinhard: International Journal of Computer Vision, vol. 59, pp.207-232. (2004)

[9] Y.-K. Zhang and X. Yang, in: International Conference on Signal Processing Proceedings, pp.1368-1371. (2008)

[10] P. Sturm, B. Triggs, in: 4th European Conference on Computer Vision, Cambridge, England. (1996)

[11] M. Shyjan and H. Martial, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp.430-437. (2000)

[12] M. Irani and P. Anandan, in: European Conf, Computer Vision'2000, p.539–553. (2000)

[13] D.W. Jacobs: Computer Vision and Image Understanding, 82(1), p.57–81. (2001)

[14] D. Morris and T. Kanade, in: Int. Conf. Computer Vision, p.696–702. (1998)

[15] S. Y. Chen and Y. F. Li: IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 34, No. 1, pp.393-408. (2004)

[16] D. Lowe: International Journal of Computer Vision, 60(2), pp.91-110. (2004)

[17] M.A. Fischer, R.C. Bolles: Communication of ACM, J. vol. 24, p.381−395. (1981)

[18] C. Li, J. Zheng, C. Dang and H. Zhou, in: 2nd International Congress on Image and Signal Processing. (2009)

[19] R. Hartley and A. Zisserman: Cambridge University Press. (2000)

[20] S. Ma, Z. Zhang: Beijing, Science Press. (1998)

[21] S. Y. Chen, Y. F. Li, J.W. Zhang, "Vision Processing for Realtime 3D Data Acquisition Based on Coded Structured Light", IEEE Transactions on Image Processing, Vol. 17, No. 2, pp.167-176 , Feb. 2008.

DOI: 10.1109/tip.2007.914755

[22] A. Zisserman: Vison Geometry Group Data, http://www.robots.ox.ac.uk/~vgg/data/.