Abstract
This paper proposes a 3D video capture method with active cameras, which enables us to produce 3D video of a moving object in a widespread area. Most existing capture methods use fixed cameras and have strong restrictions on allowable object motion; an object cannot move in a wide area. To solve this problem, our method partitions a studio space into a set of subspaces named “cells”, and conducts the camera calibration and control for object tracking based on the cells. We first formulate our method as an optimization problem and then propose an algorithm to solve it.
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References
Esteban, C., Schmitt, F.: Silhouette and stereo fusion for 3D object modeling. Comput. Vis. Image Underst. 96(3), 367–392 (2004)
Furukawa, Y., Ponce, J.: Carved visual hulls for image-based modeling. In: European Conference on Computer Vision (ECCV), pp. 564–577 (2006)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press (2004)
Isard, M., Blake, A.: Condensation – conditional density propagation for visual tracking. Int. J. Comput. Vis. 29(1), 5–28 (1998). URL http://citeseer.ist.psu.edu/isard98condensation.html
Kanade, T., Rander, P., Narayanan, P.: Virtualized reality: constructing virtual worlds from real scenes. IEEE Multimed. 4(1), 33–47 (1997)
Kitahara, I., Saito, H., Akimichi, S., Onno, T., Ohta, Y., Kanade, T.: Large-scale virtualized reality. In: Proceedings of IEEE Conference on CVPR Technical Sketches (2001)
Kondou, J., Wu, X., Matsuyama, T.: Calibration of partially-fixed viewpoint active camera. IPSJ SIG Notes. CVIM 2003-CVIM-137 No.36(137-19), 149–156 (20030327). URL http://ci.nii.ac.jp/naid/110002664037/
Laurentini, A.: The visual hull concept for silhouette based image understanding. IEEE Trans. Pattern Anal. Mach. Intell. 16(2), 150–162 (1994)
Matsuyama, T., Wu, X., Takai, T., Nobuhara, S.: Real-time 3D shape reconstruction, dynamic 3D mesh deformation, and high fidelity visualization for 3D video. Comput. Vis. Image Underst. 96(3), 393–434 (2004). doi:http://dx.doi.org/10.1016/j.cviu.2004.03.012
Starck, J., Hilton, A.: Virtual view synthesis of people from multiple view video sequences. Graph. Models 67(6), 600–620 (2005)
Starck, J., Maki, A., Nobuhara, S., Hilton, A., Matsuyama, T.: The multiple-camera 3-D production studio. IEEE Trans. Circuits Syst. Video Technol. 19(6), 856–869 (2009)
Svoboda, T., Martinec, D., Pajdla, T.: A convenient multicamera self-calibration for virtual environments. Presence: Teleoper. Virtual Environ. 14(4), 407–422 (2005). doi:http://dx.doi.org/10.1162/105474605774785325
Ukita, N., Matsuyama, T.: Real-time cooperative multi-target tracking by communicating active visionagents. Comput. Vis. Image Underst. 97(2), 137–179 (2005)
Wada, T., Matsuyama, T.: Appearance sphere: background model for pan-tilt-zoom camera. In: The 13th International Conference on Pattern Recognition, vol. A, pp. 718–722 (1996)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
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Yamaguchi, T., Yoshimoto, H., Matsuyama, T. (2010). Cell-Based 3D Video Capture Method with Active Cameras. In: Ronfard, R., Taubin, G. (eds) Image and Geometry Processing for 3-D Cinematography. Geometry and Computing, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12392-4_8
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DOI: https://doi.org/10.1007/978-3-642-12392-4_8
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