Abstract
A non-contact 3D data acquisition system based on fringe encoded light is analyzed. In this paper, the characteristics of encoding light structure based on space-time domain are studied, and the encoding combination with fringe boundary features is designed. This paper discusses the hierarchical reconstruction technology based on the three levels of projective radiation metric, which is better adapted to the measurement environment of inaccurate or uncalibrated camera parameters calibration, and more convenient to introduce the optimization algorithm. On the other hand, the affine coordinate system and the projective coordinate system are more widely used than the Euclidean coordinate system. The active binocular measurement system is constructed to collect the spatial information of 3D objects and store it in the form of point cloud.
Supported by organization by Natural Science Foundation of Universities in Jiangsu Province (Grant No.: 16KJA460001), Creation Foundation Project of Nanjing Institute of Technology (Grant No.: ZKJ201611).
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References
Maybank, S.J., Faugeras, O.D.: A theory of self-calibration of a moving camera. Int. J. Comput. Vis. 8(2), 123–151 (1992)
Hartley, R.I.: Euclidean reconstruction from uncalibrated views. In: Mundy, J.L., Zisserman, A., Forsyth, D. (eds.) AICV 1993. LNCS, vol. 825, pp. 235–256. Springer, Heidelberg (1994). https://doi.org/10.1007/3-540-58240-1_13
Ankang, Y.: 3D layered reconstruction technology based on structure encoded light. Southeast University, March 2009
Griffin, P., Narasimhan, L., Yee, S.: Generation of uniquely encoded light patterns for range data acquisition. Pattern Recogn. 25(6), 609–616 (1992)
Luong, Q., Faugeras, O.: The fundamental matrix: theory, algorithms, and stability analysis. Int. J. Comput. Vis. 17(1), 43–75 (1996)
Leavers, V.: Shape Detection in Computer Vision Using the Hough Transform. Springer, New York (1992). https://doi.org/10.1007/978-1-4471-1940-1
Loop, C., Zhang, Z.: Computing rectifying homographies for stereo vision. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1999, January 1999
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Zhu, H., Wang, M., Xu, K. (2020). Binocular Vision Detection and 3D Construction Based on Encoded Light. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1254. Springer, Singapore. https://doi.org/10.1007/978-981-15-8101-4_54
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DOI: https://doi.org/10.1007/978-981-15-8101-4_54
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