3-D Reconstruction of Three Views Based on Manifold Study - Advances in Image and Graphics Technologies - page 191

3. Torr, P.: Bayesian model estimation and selection for epipolar geometry and generic
manifold fitting. International Journal of Computer Vision 50(1), 35-61 (2002)
4. Carro, A.I., Morros, R.: Promeds: An adaptive robust fundamental matrix estimation
approach. In: 3DTV-Conference, The True Vision - Capture, Transmission and Display of
3D Video, pp. 1-4 (2012)
5. Li, Y., Velipasalar, S., Gursoy, M.C.: An improved evolutionary algorithm for fundamental
matrix estimation. In: 2013 10th IEEE International Conference on Advanced Video and
Signal Based Surveillance, pp. 226-231. IEEE Press, Krakow (2013)
6. Shi, X.B., Liu, F., Wang, Y., et al.: A Fundamental Matrix Estimation Algorithm Based on
Point Weighting Strategy. In: 2011 International Conference on Virtual Reality and
Visualization, Beijing, pp. 24-29 (2011)
7. Calderon, D.B., Maria, T.: An approach for estimating the fundamental matrix. In: 2011 6th
Colombian Computing Congress, Manizales, pp. 1-6 (2011)
8. Brandt, S.: Maximum likelihood robust regression with known and unknown residual
models. In: Proceedings of the Statistical Methods in Video Processing Workshop, in
Conjunction with ECCV, Copenhagen, pp. 97-102 (2002)
9. Brandt, S.: Maximum likelihood robust regression by mixture models. J. Journal of
Mathematical Imaging and Vision. 25(1), 25-48 (2006)
10. Lu, S., Lei, Y., Kong, W.W., et al.: Fundamental matrix estimation based on probability
analysis and sampling consensus. Control and Decision 42(2), 425-430 (2012), ( 基于模糊
核聚类的鲁棒性基础矩阵估计算法 )
11. Fang, L.: Research on feature based 3D scene reconstruction techniques from image
sequence. Huazhong University of science and technology (2007), ( 基于特征的图像序列
三维场景重建技术研究 )
12. Boissonnat, J.D.: Geometric structures for three-dimensional shape representation. ACM
Transactions on Graphics. 3(4), 266-286 (1984)
13. Wang, Q., Wang, R.Q., Ba, H.J., Peng, Q.S.: A Fast Progressive Surface Reconstruction
Algorithm for Unorganized Point. Journal of Software. 11(9), 1221-1227 (2000), ( 散乱数
据点的增量快速曲面重建算法 )
14. Hou, W.G., Ding, M.Y.: Method of Triangulating Spatial Point s Based on Manifold Stud. J.
Acta Electronica Sinica 37, 2579-2583 (2009), ( 基于流形学习的三维空间数据网格剖分
方法 )
15. Li, L.D., Lu, D.T., Kong, X.Y., Wu, G.: Implicit Surfaces Based on Radial Basis Function
Network. Journal of Computer-aided Design & Computer Graphics 18, 1142-1148 (2006),
( 径向基函数网络的隐式曲面方法 )
16. Fang, L.C., Wang, G.Z.: Radial basis functions based surface reconstruction algorithm.
Journal of Zhejiang University (Engineering Science) 44, 728-731 (2010), ( 基于径向基函
数的曲面重建算法 )
17. Tenenbaum, J.B., Silva, V.D., Langford, J.C.: A Global Geometric Framework for
Nonlinear Dimensionality Reduction 290(5500), 2319-2323 (2000)