Abstract
An image-based 3D model acquisition system using projections of level curves is presented. The basic idea is similar to surface from parallel planar contours, such as 3D reconstruction from CT or laser range scanning techniques. However, our approach is implemented on a low-cost passive camera system. The object is placed in a water container and the level curves of the object’s surface are generated by raising the water level. The 3D surface is recovered by multiple 2D projections of parallel level curves and the camera parameters. Experimental results are presented for both computer simulated data and real image sequences.
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Forsyth, D., Ponce, J.: Computer Vision: A Modern Approach. Prentice-Hall, Englewood Cliffs (2003)
Lin, H.Y., Subbarao, M.: A vision system for fast 3d model reconstruction. In: CVPR (2), pp. 663–668. IEEE Computer Society, Los Alamitos (2001)
Nayar, S., Nakagawa, Y.: Shape from focus. IEEE Trans. Pattern Analysis and Machine Intelligence 16, 824–831 (1994)
Baba, M., Asada, N., Oda, A., Migita, T.: A thin lens based camera model for depth estimation from blur and translation by zooming. Vision Interface, 274 (2002)
Fuchs, H., Kedem, Z.M., Uselton, S.P.: Optimal surface reconstruction from planar contours. Commun. ACM 20, 693–702 (1977)
Barequet, G., Shapiro, D., Tal, A.: Multilevel sensitive reconstruction of polyhedral surfaces from parallel slices. The Visual Computer 16, 116–133 (2000)
Meyers, D., Skinner, S., Sloan, K.R.: Surfaces from contours. ACM Trans. Graph. 11, 228–258 (1992)
Klein, R., Schilling, A., Straßer, W.: Reconstruction and simplification of surfaces from contours. Graphical Models 62, 429–443 (2000)
Lin, H.Y.: Vehicle speed detection and identification from a single motion blurred image. In: WACV/MOTION, pp. 461–467. IEEE Computer Society, Los Alamitos (2005)
Chen, C., Yu, C., Hung, Y.: New calibration-free approach for augmented reality based on parameterized cuboid structure. In: International Conference on Computer Vision, pp. 30–37 (1999)
Schroeder, W., Martin, K.M., Lorensen, W.E.: The visualization toolkit: an object-oriented approach to 3D graphics, 2nd edn. Prentice-Hall, Inc., Upper Saddle River (1998)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8, 679–698 (1986)
Fitzgibbon, A.W., Pilu, M., Fisher, R.B.: Direct least square fitting of ellipses. IEEE Trans. Pattern Anal. Mach. Intell. 21, 476–480 (1999)
Trucco, E., Verri, A.: Introductory Techniques for 3-D Computer Vision. Prentice-Hall, Englewood Cliffs (1998)
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© 2006 Springer-Verlag Berlin Heidelberg
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Lin, HY., Wang, ML., Yu, PH. (2006). A 3D Model Acquisition System Based on a Sequence of Projected Level Curves. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_95
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DOI: https://doi.org/10.1007/11864349_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
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