Abstract
In order to create a virtual reality (VR) space using omnidirectional images, it is desirable to use images without the photographer’s inclusion. In this study, we propose a method to generate an omnidirectional image without the photographer’s inclusion by using multiple images taken by an omnidirectional camera. In the proposed method, the photographer rotates around the omnidirectional camera and takes several images. Next, we perform feature point matching on the omnidirectional images and unify the appearance of all the images by using the amount of translation calculated from the matching. Finally, the images are combined with graph cut and Poisson image editing to produce an omnidirectional panoramic image without the photographer in it.
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References
Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimizaiton in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1124–1137 (2004)
Cohen, S.: Background estimation as a labeling problem. In: IEEE International Conference on Computer Vision, pp. 1034–1041 (2018)
Criminisi, A., Perez, P., Toyama, K.: Region filling and object removal by exemplar based image inpainting. IEEE Trans. Image Process. 13(9), 1200–1212 (2004)
Fischler, M.A., Bolles, R.C., Bae, S., Yi, J.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
Flores, A., Belongie, S.: Removing pedestrians from google street view images. In: International Workshop on Mobile Vision, pp. 53–58 (2010)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of Alvey Vision Conference, pp. 147–151 (1988)
Jancosek, M., Pajdla, T.: Multi-view reconstruction preserving weakly-supported surfaces. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3121–3128 (2011)
Kawai, N., Inoue, N., Sato, T., Okura, F., Nakashima, Y., Yokoya, N.: Background estimation for a single omnidirectional image sequence captured with a moving camera. IPSJ Trans. Comput. Vison App. 6, 68–72 (2014)
Kawai, N., Yokoya, N.: Image inpainting considering symmetric patterns. In: IAPR International Conference on Pattern Recognition, pp. 2744–2747 (2012)
Le, T.T., Almansa, A., Gousseau, Y., Masnou, S.: Object removal from complex videos using a few annotations. Comput. Visual Med. 5(3), 267–291 (2019). https://doi.org/10.1007/s41095-019-0145-0
Pérez, P., Gangnet, M., Blake, A.: Poisson image editing. ACM Trans. Graph. 22(3), 313–318 (2003)
Telea, A.: An image inpainting technique based on the fast marching method. J. Graph. Tools 9(1), 23–24 (2004)
Wu, C.: VisualSFM: a visual structure from motion system. http://ccwu.me/vsfm/
Xu, R., Li, X., Zhou, B., Loy, C.C.: Deep flow-guided video inpainting. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5505–5514 (2018)
Acknowledgements
This work was supported by JSPS KAKENHI Grant Numbers JP18H03273, JP18H04116, JP21H03483.
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Noda, R., Kawai, N. (2022). Generation of Omnidirectional Image Without Photographer. In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, vol 1578. Springer, Cham. https://doi.org/10.1007/978-3-031-06381-7_20
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DOI: https://doi.org/10.1007/978-3-031-06381-7_20
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