Abstract
In this paper, we propose a new camera calibration method for the 3D-based image synthesis and 3D reconstruction. We improve the problem as changing the principle point for obtaining the linear equation. According to the error rate, we adapt the non-linear method that minimizes the intrinsic parameters. Namely, it minimizes the intrinsic parameters error with maintaining the computational conciseness. As a result, we can find optimized camera intrinsic parameters and adapt to image synthesis and reconstruction. Experimental results show the performance of the proposed method is the better than the previous. We also demonstrate examples of the 3D-based image synthesis and 3D reconstruction from uncalibrated images.
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References
Triggs, B.: Autocalibration and the absolute quadric. In: Proc. Conference on Computer Vision and Pattern Recognition, pp. 609–614. IEEE Computer Soc. Press, Los Alamitos (1997)
Heyden, Astrom, K.: Euclidean Reconstruction from Constant Intrinsic Parameters. In: Proc. 13th International Conference on Pattern Recognition, pp. 339–343. IEEE Computer Soc. Press, Los Alamitos (1996)
Hartley, R., Mundy, J.L., Zisserman, A., Forsyth, D. (eds.): Euclidean reconstruction from uncalibrated views. In: Mundy, J.L., Zisserman, A., Forsyth, D. (eds.) AICV 1993. LNCS, vol. 825, pp. 237–256. Springer, Heidelberg (1994)
Pollefeys, M.: Tutorial on 3D modeling from images, Dublin, Irelan. In: conjunction with ECCV, Lecture Notes, ch. 6, June 26 (2000)
Zhang, Z.: A Robust Technique for Matching Two Uncalibrated Images +Through the Recovery of the Unknown Epipolar Geometry. Technical Report (May 1994)
Smith, P., Sinclair, D., Cipolla, R., Wood, K.: Effective corner matching. BMVC (September 1998)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Fourth Alvey Vision Conference, pp. 147–151 (1988)
Hartley, R., Zisserman, A.: Multiple View Geometry in computer vision. ch. 5,6,8,11,18. Cambridge Univ. Press, Cambridge (2000)
Higgins, L.: A computer algorithm for reconstructing a scene from two projections. Nature 293, 133–135 (1981)
Deriche, R., Zhang, Z., Luong, Q.T., Faugeras, O.: Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig. In: European Conference on computer Vision, vol. 1, pp. 567–576 (May 1994)
Triggs, B.: Factorization methods for projective structure and motion. In: Proc. of Computer Society Conference on Computer Vision and Pattern Recognition, pp. 845–851. IEEE Computer Soc. Press, Los Alamitos (1996)
Kutulakos, K.N., Vallino, J.R.: Calibration-Free Augmented Reality. IEEE Transaction of Visualization and Computer Graphics 4(1) (1998)
Chiuso, A., Favaro, P., Jin, H., Soatto, S.: Structure from motion causally integrated over time pattern Analysis and Machine Intelligence. IEEE Transactions on 24(4), 523–535 (2002)
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Kim, SH., Kim, TE., Lee, MR., Choi, JS. (2005). 3D-Based Synthesis and 3D Reconstruction from Uncalibrated Images. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_31
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DOI: https://doi.org/10.1007/11553939_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
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