Abstract
A method for look-around image mosaic is proposed, in order to solve the problem that dislocation distortion still exists in overlap region in terms of panoramic system. Firstly, the principal and construction difficulties of panoramic system are analyzed. On this basis, combined with the common panoramic image stitching method, the cause for poor image stitching is analyzed. Afterwards, with the purpose of reducing distortion in overlap region, a method for panoramic image mosaic by dividing left and right images to transfer and split original stitching deviation is proposed. In addition, the detailed implementation plan is given. The proposed stitching method is realized by MATLAB programming, and the experiment shows that the dislocation distortion is less than conventional method. The proposed panoramic image mosaic method is small-dislocation and non-blind, thus it can satisfy the requirement of human vision and contribute to panoramic system’s realization.
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References
Lu, B., Qin, R., Li, Q., et al.: Study of vehicle-surrounding image stitch algorithm. Comput. Sci. J. 09, 293–295 (2013)
Liang, Y.J., Li, Q., Chen, D.P., et al.: Wide-view image system based on Internet of cars. Appl. Res. Comput. J. 29(6), 2145–2147 (2012)
Fang, C.Y., Den, J., Tan, Y.X.: Panoramic parking system and image splicing technological study. Automob. Parts J. 11, 103–105 (2012)
Wang, X.D.: Autonomous Parking System Research and Design on Bird’s Eye View. Shanghai Jiao Tong University for the Degree of Master, Shanghai (2013)
Cancare, F., Bhandari, S., Bartolini, D.B., et al.: A bird’s eye view of FPGA-based evolvable hardware. In: Proceedings of AHS, pp. 169–175 (2011)
Scaramuzza, D., Martinelli, A., Siegwart, R.: A flexible technique for accurate omnidirectional camera calibration and structure from motion. In: IEEE International Conference on Computer Vision Systems 2006, vol. 1, p. 45. IEEE, New York (2006)
Wang, T., Chen, L.: Image preprocessing for vehicle panoramic system. In: SPIE/COS Photonics Asia 2016. International Society for Optics and Photonics, Beijing (2016)
Zhang, W., Zhang, J.J.: Research on image mosaic technology based on harris corner. Electron. Qual. 7, 12–14 (2016)
Guo, J.: Multiple Image Stitching Technique Research Based on the Feature Points. Xi’an University of Science and Technology, Xi’an (2012)
Acknowledgment
This research was financially supported by the Project of the National Natural Science Foundation of China (No. 61327802) and Program for New Century Excellent Talents (NCET-13-0923).
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Feng, S., Wang, T., Huang, H., Chen, L. (2017). An Image Mosaic Method Based on Deviation Splitting and Transferring for Vehicle Panoramic System. In: Liu, M., Chen, H., Vincze, M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science(), vol 10528. Springer, Cham. https://doi.org/10.1007/978-3-319-68345-4_20
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DOI: https://doi.org/10.1007/978-3-319-68345-4_20
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