Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views
نویسندگان
چکیده
[1] Luo, Z. X., Zhou, X. C., David XianFeng, G. U. (2014). From a projective invariant to some new properties of algebraic hypersurfaces.Science China Mathematics, 57(11), 2273-2284. [2] Fan, B., Wu, F., Hu, Z. (2010). Line matching leveraged by point correspondences. IEEE Conference on Computer Vision & Pattern Recognition (Vol.238, pp.390-397). [3] Fan, B., Wu, F., & Hu, Z. (2012). Robust line matching through line–point invariants. Pattern Recognition, 45(2), 794-805. [4] López, J., Santos, R., Fdez-Vidal, X. R., & Pardo, X. M. (2015). Two-view line matching algorithm based on context and appearance in low-textured images. Pattern Recognition, 48(7), 2164-2184. Dalian University of Technology Qi Jia, Xinkai Gao, Xin Fan*, Zhongxuan Luo, Haojie Li,and Ziyao Chen Novel Coplanar Line-points Invariants for Robust Line Matching Across Views
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Robust line matching through line-point invariants
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