Abstract
The paper is focused on the problem of pose estimation from a single view in minimum conditions that can be obtained from images. Under the assumption of known intrinsic parameters, we propose and prove that the pose of the camera can be recovered uniquely in three situations: (a) the image of one circle with discriminable center; (b) the image of one circle with preassigned world frame; (c) the image of any two pairs of parallel lines. Compared with previous techniques, the proposed method does not need any 3D measurement of the circle or lines, thus the required conditions are easily satisfied in many scenarios. Extensive experiments are carried out to validate the proposed method.
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References
Ansar, A., Daniilidis, K.: Linear pose estimation from points or lines. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 578–589 (2003)
Chen, H.H.: Pose determination from line-to-plane correspondences: Existence condition and closed-form solutions. IEEE Trans. Pattern Anal. Mach. Intell. 13(6), 530–541 (1991)
Criminisi, A., Reid, I., Zisserman, A.: Single view metrology. International Journal of Computer Vision 40(2), 123–148 (2000)
Dhome, M., Richetin, M., Lapreste, J.T.: Determination of the attitude of 3D objects from a single perspective view. IEEE Trans. Pattern Anal. Mach. Intell. 11(12), 1265–1278 (1989)
Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartomated cartography. Communications of the ACM. 24(6), 381–395 (1981)
Gao, X.S., Tang, J.: On the probability of the number of solutions for the P4P problem. J. Math. Imaging Vis. 25(1), 79–86 (2006)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)
Horaud, R., Conio, B., Leboulleux, O., Lacolle, B.: An analytic solution for the perspective 4-point problem. CVGIP 47(1), 33–44 (1989)
Hu, Z.Y., Wu, F.C.: A note on the number of solutions of the noncoplanar P4P problem. IEEE Trans. Pattern Anal. Mach. Intell. 24(4), 550–555 (2002)
Jiang, G., Quan, L.: Detection of concentric circles for camera calibration. In: Proc. of ICCV, pp. 333–340 (2005)
Kim, J.S., Gurdjos, P., Kweon, I.S.: Geometric and algebraic constraints of projected concentric circles and their applications to camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(4), 637–642 (2005)
Liu, Y., Huang, T.S., Faugeras, O.D.: Determination of camera location from 2-D to 3-D line and point correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 12(1), 28–37 (1990)
Meng, X., Li, H., Hu, Z.: A new easy camera calibration technique based on circular points. In: Proc. of BMVC (2000)
Nistér, D., Stewénius, H.: A minimal solution to the generalised 3-point pose problem. J. Math. Imaging Vis. 27(1), 67–79 (2007)
Quan, L., Lan, Z.: Linear n-point camera pose determination. IEEE Trans. Pattern Anal. Mach. Intell. 21(8), 774–780 (1999)
Schmid, C., Zisserman, A.: Automatic line matching across views. In: Proc. of CVPR, pp. 666–671 (1997)
Wang, G.H., Hu, Z.Y., Wu, F.C., Tsui, H.T.: Single view metrology from scene constraints. Image Vision Comput. 23(9), 831–840 (2005)
Wang, G.H., Tsui, H.T., Hu, Z.Y., Wu, F.C.: Camera calibration and 3D reconstruction from a single view based on scene constraints. Image Vision Comput. 23(3), 311–323 (2005)
Wang, G.H., Wang, S., Gao, X., Li, Y.: Three dimensional reconstruction of structured scenes based on vanishing points. In: Proc. of PCM, pp. 935–942 (2006)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
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Wang, G., Wu, Q.M.J., Ji, Z. (2007). Pose Estimation from Circle or Parallel Lines in a Single Image. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76390-1_36
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DOI: https://doi.org/10.1007/978-3-540-76390-1_36
Publisher Name: Springer, Berlin, Heidelberg
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