Abstract
We propose a novel foreground object segmentation algorithm for a silhouette-based 3D reconstruction system. Our system requires several multi-view images as input to reconstruct a complete 3D model. The proposed foreground segmentation algorithm is based on graph-cut optimization with the energy function developed for planar background assumption. We parallelize parts of our program with GPU programming. The 3D reconstruction system consists of camera calibration, foreground segmentation, visual hull reconstruction, surface reconstruction, and texture mapping. The proposed 3D reconstruction process is accelerated with GPU implementation. In the experimental result, we demonstrate the improved accuracy by using the proposed segmentation method and show the reconstructed 3D models computed from several image sets.
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References
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, New York (2003)
Laurentini, A.: The visual hull concept for silhouette-based image understanding. IEEE Trans. Pattern Anal. Mach. Intell. 16, 150–162 (1994)
Pollefeys, M., Koch, R., Gool, L.J.V.: Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters. Int. J. Comput. Vis. 32, 7–25 (1999)
Wang, R., Choi, J., Medioni, G.G.: Accurate full body scanning from a single fixed 3d camera. In: 3DIMPVT, pp. 432–439. IEEE (2012)
Boykov, Y., Jolly, M.P.: Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. In: ICCV, pp. 105–112 (2001)
Pham, V.Q., Takahashi, K., Naemura, T.: Foreground-background segmentation using iterated distribution matching. In: CVPR, pp. 2113–2120. IEEE (2011)
Rother, C., Kolmogorov, V., Blake, A.: “GrabCut”: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23, 309–314 (2004)
Vogiatzis, G., Hernandez, C.: Automatic camera pose estimation from dot pattern (2010). http://jabref.sourceforge.net/help/LabelPatterns.php
Matusik, W., Buehler, C., Raskar, R., Gortler, S.J., McMillan, L.: Image-based visual hulls. In: SIGGRAPH, pp. 369–374 (2000)
Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. 32, 29:1–29:13 (2013)
Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. ACM Trans. Graph. 2, 217–236 (1983)
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Kuo, PC., Chen, CA., Chang, HC., Su, TF., Lai, SH. (2015). 3D Reconstruction with Automatic Foreground Segmentation from Multi-view Images Acquired from a Mobile Device. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9010. Springer, Cham. https://doi.org/10.1007/978-3-319-16634-6_26
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DOI: https://doi.org/10.1007/978-3-319-16634-6_26
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