Abstract
A novel method for simultaneously acquiring and registering range data of a real object from different viewpoints is presented. Currently, most 3D model reconstruction techniques do not cooperate with the existing range data for shape recovery of future viewpoints. In this work, a stereo vision system is developed for 3D model acquisition. To reduce the computation and increase the accuracy of stereo matching algorithms, the recovered range data from previous viewpoints are registered and then used to provide additional constraints for 3D acquisition of the next viewpoint. Experiments have shown that our approach gives better performance on both execution time and stereo matching results.
This is a preview of subscription content, log in via an institution to check access.
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
Pulli, K., Shapiro, L.: Surface reconstruction and display from range and color data. Graphical Models 62(3), 165–201 (2000)
Albamont, J., Goshtasby, A.: A range scanner with a virtual laser. Image and Vision Computing 21(3), 271–284 (2003)
Reed, M.K., Allen, P.K.: 3-d modeling from range imagery: An incremental method with a planning component. Image and Vision Computing 17(2), 99–111 (1999)
Lin, H.Y., Subbarao, M.: A vision system for fast 3d model reconstruction. In: CVPR, vol. 2, pp. 663–668. IEEE Computer Society Press, Los Alamitos (2001)
Tsai, R.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Trans. Robotics and Automation 3(4), 323–344 (1987)
Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and machine Intelligence 14(2), 239–258 (1992)
Bergevin, R., Soucy, M., Gagnon, H., Laurendeau, D.: Towards a general multiview registration technique. IEEE Trans. Pattern Analysis and Machine Intelligence 18(5), 540–547 (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Lin, HY., Liang, SC., Wu, JR. (2007). 3D Shape Recovery with Registration Assisted Stereo Matching. In: MartÃ, J., BenedÃ, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_75
Download citation
DOI: https://doi.org/10.1007/978-3-540-72849-8_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72848-1
Online ISBN: 978-3-540-72849-8
eBook Packages: Computer ScienceComputer Science (R0)