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REFERENCES

1 
Kim B.-S., Choi K.-A., Park W.-J., Kim S.-W., Ko S.-J., May 2017, Content-preserving video stitching method for multi-camera systems, IEEE Trans. Consum. Electron., Vol. 63, No. 2, pp. 109-116DOI
2 
Xu W., Mulligan J., 2010, Performance evaluation of color correction approaches for automatic multi-view image and video stitching, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 263-270DOI
3 
Hartley R., Zisserman A., 2003, Multiple View Geometry in Computer Vision, NY, USA: Cambridge University PressDOI
4 
Schönberger J. L., Frahm J., 2016, Structure-from-Motion Revisited, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit.(CVPR), pp. 4104-4113DOI
5 
Brown M., Lowe D. G., Aug. 2007, Automatic Panoramic Image Stitching using Invariant Features, Int. J. Comput. Vision, Vol. 74, pp. 59-73DOI
6 
Reinhard E., Adhikhmin M., Gooch B., Shirley P., Jul. 2001, Color transfer between images, IEEE Comput. Graph. Appl., Vol. 21, No. 5, pp. 34-41DOI
7 
Xiong Y., Pulli K., Nov. 2010, Color matching for high-quality panoramic images on mobile phones, IEEE Trans. on Consum. Electron., Vol. 56, No. 4, pp. 2592-2600DOI
8 
Jung J.-I., Ho Y.-S., 2013, Improved polynomial model for multi-view image color correction, J. Korea Info. Com. Society, Vol. 38c, pp. 881-886DOI
9 
Xia M., Yao J., Gao Z., Nov. 2019, A closed-form solution for multi-view color correction with gradient preservation, ISPRS J. Photogram. Remote Sens., Vol. 157, pp. 188-200DOI
10 
Shin D., Ho Y.-S., 2015, Color correction using 3D multi-view geometry, in Proc. SPIE Color Imaging XX, Vol. 9395DOI
11 
Hwang Y., Lee J., Kweon I. S., Kim S. J., 2014, Color transfer using probabilistic moving least squares, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., pp. 3342-3349DOI
12 
Jeong H., Yoon B., Jeong H., Choi K.-S., Sep. 2021, Multi-view image color correction using 3D point set registration, in Proc. IEEE Conf. Image Process., pp. 1744-1748DOI
13 
Lowe D. G., 1999, Object recognition from local scale-invariant features, in Proc. Int. Conf. Comput. Vis., pp. 1150-1157DOI
14 
Yang J., Li H., Jia Y., Dec. 2013, GO-ICP: Solving 3D registration efficiently and globally optimally, in Proc. Int. Conf. Comput. Vis., pp. 1457-1464DOI
15 
Campbell D., Petersson L., Dec. 2015, An adaptive data representation for robust point-set registration and merging, in Proc. Int. Conf. Comput. Vis.DOI
16 
Serafin J., Grisetti G., Oct. 2015, NICP: Dense normal based point cloud registration, in Proc. IEEE/RSJ Int. Conf. Intel. Robots and Syst., pp. 742-749DOI
17 
Pomerleau F., Magnenat S., Colas F., Liu M., Siegwart R., Dec. 2011, Tracking a depth camera: Parameter exploration for fast ICP, in Proc. IEEE/RSJ Int. Intel. Robots and Syst., pp. 3842-3829DOI
18 
Achanta R., Shaji A., Smith K., Lucchi A., Fua P., Susstrunk S., May 2012, SLIC Superpixels compared to state-of-the-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intel., Vol. 34, No. 11, pp. 2274-2282DOI
19 
Choi K.-S., Oh K.-W., May 2016, Subsampling-based acceleration of simple linear iterative clustering for superpixel segmentation, Comput. Vis. Image Understanding, Vol. 146, pp. 1-8DOI
20 
Oh K.-W., Choi K.-S., 2019, Acceleration of simple linear iterative clustering using early candidate cluster exclusion, J. Real-Time Image Process., Vol. 16, pp. 945-956DOI
21 
Arthur D., Vassilvitskii S., 2007, K-means++: The advantages of careful seeding, in Proc. ACM-SIAM Symp. Discrete Algorithms, pp. 1027-1035URL
22 
Scharstein D., Hirschmüller H., Kitajima Y., Krathwohl G., Nesic N., Wang X., Sep. 2014, High-resolution stereo datasets with subpixel-accurate ground truth, In German Conf. Pattern Recognit., Germany, pp. 31-42DOI
23 
Wei Bao , Wei Wang , Yuhua Xu , Yulan Guo , Siyu Hong , Xiaohu Zhang , 2020., InStereo2K: A large real dataset for stereo matching in indoor scenes, Sci. China Info. Sci., Vol. 63, No. 11DOI
24 
Jung Y. J., Sohn H., Lee S., Park H. W., Ro Y. M., Dec. 2013, Predicting visual discomfort of stereoscopic images using human attention model, IEEE Trans. Circuits and Sys. Video Tech., Vol. 23, No. 12, pp. 2077-2082DOI
25 
Myronenko A., song X., Dec. 2010, Point set registration: coherent point drift, IEEE Trans. Pattern Anal. Mach. Intel., Vol. 32, No. 12, pp. 2262-2275DOI
26 
Horé A., Ziou D., 2010, Image quality metrics: PSNR vs. SSIM, in Proc. Int. Conf. Pattern Recognit., pp. 2366-2369DOI