Adaptive-Partial Template Update with Center-Shifting Recovery for High Frame Rate and Ultra-Low Delay Deformation Matching
Author:
Affiliation:
1. School of Automation, Southeast University
2. Graduate School of Information, Production and Systems, Waseda University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E102.A/12/E102.A_1872/_pdf
Reference19 articles.
1. [1] T. Hu and T. Ikenaga, “Pixel selection and intensity directed symmetry for high frame rate and ultra-low delay matching system,” IEICE Trans. Inf. & Syst., vol.E101-D, no.5, pp.1260-1269, May 2018. 10.1587/transinf.2017mvp0012
2. [2] H. Uchiyama and E. Marchand, “Deformable random dot markers,” Proc. IEEE Int. Symp. Mixed and Augmented Reality, pp.237-238, 2011. 10.1109/ismar.2011.6162896
3. [3] G. Narita, Y. Watanabe, and M. Ishikawa, “Dynamic projection mapping onto deforming non-rigid surface using deformable dot cluster marker,” IEEE Trans. Vis. Comput. Graphics, vol.23, no.3, pp.1235-1248, 2017. 10.1109/tvcg.2016.2592910
4. [4] H. Ling and D.W. Jacobs, “Deformation invariant image matching,” Proc. IEEE Int. Conf. Computer Vision, pp.1466-1473, 2005. 10.1109/iccv.2005.67
5. [5] K. Liu, J. Zhang, K. Huang, and T. Tan, “Deformable object matching via deformation decomposition based 2D label MRF,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp.2321-2328, 2014. 10.1109/cvpr.2014.297
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