Craniofacial reconstruction based on heat flow geodesic grid regression (HF-GGR) model
暂无分享,去创建一个
Zhongke Wu | Zhenkuan Pan | Shiqing Xin | Fuqing Duan | Junli Zhao | Mingquan Zhou | Bin Jia | Jinhua Li | Shiqing Xin | Zhongke Wu | Mingquan Zhou | Zhenkuan Pan | Fuqing Duan | Junli Zhao | Bin Jia | Jinhua Li
[1] Maxime Berar,et al. Construction and analysis of a head CT-scan database for craniofacial reconstruction. , 2009, Forensic science international.
[2] Paul Suetens,et al. A spatially-dense regression study of facial form and tissue depth: towards an interactive tool for craniofacial reconstruction. , 2014, Forensic science international.
[3] Mingquan Zhou,et al. Face Appearance Reconstruction Based on a Regional Statistical Craniofacial Model (RCSM) , 2010, 2010 20th International Conference on Pattern Recognition.
[4] Zhongke Wu,et al. Face Reconstruction from Skull Based on Partial Least Squares Regression , 2011, 2011 Seventh International Conference on Computational Intelligence and Security.
[5] Paul Suetens,et al. Bayesian estimation of optimal craniofacial reconstructions. , 2010, Forensic science international.
[6] Zhongke Wu,et al. A regional method for craniofacial reconstruction based on coordinate adjustments and a new fusion strategy. , 2016, Forensic science international.
[7] Joseph S. B. Mitchell,et al. The Discrete Geodesic Problem , 1987, SIAM J. Comput..
[8] Zhongke Wu,et al. Densely calculated facial soft tissue thickness for craniofacial reconstruction in Chinese adults. , 2016, Forensic science international.
[9] Thomas Vetter,et al. Probabilistic Joint Face-Skull Modelling for Facial Reconstruction , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] D. Mount. On Finding Shortest Paths on Convex Polyhedra. , 1985 .
[11] Mario Botsch,et al. A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness , 2018, PloS one.
[12] Shi-Qing Xin,et al. Applying the improved Chen and Han's algorithm to different versions of shortest path problems on a polyhedral surface , 2010, Comput. Aided Des..
[13] Paul Suetens,et al. Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depths: methodology and validation. , 2006, Forensic science international.
[14] Ligang Liu,et al. Fast Wavefront Propagation (FWP) for Computing Exact Geodesic Distances on Meshes , 2015, IEEE Transactions on Visualization and Computer Graphics.
[15] Na Lei,et al. Automatic and Robust Skull Registration Based on Discrete Uniformization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[17] S. Wold,et al. The multivariate calibration problem in chemistry solved by the PLS method , 1983 .
[18] Keenan Crane,et al. Geodesics in heat: A new approach to computing distance based on heat flow , 2012, TOGS.
[19] Micha Sharir,et al. On Shortest Paths in Polyhedral Spaces , 1986, SIAM J. Comput..
[20] Francesco Santini,et al. Face Reconstruction from Skull Shapes and Physical Attributes , 2009, DAGM-Symposium.
[21] Yijie Han,et al. Shortest paths on a polyhedron , 1990, SCG '90.
[22] Yanfeng Sun,et al. A hierarchical dense deformable model for 3D face reconstruction from skull , 2012, Multimedia Tools and Applications.
[23] Ozgur Bulut,et al. Facial soft tissue thickness database for craniofacial reconstruction in the Turkish adult population. , 2014, Forensic science international.
[24] Xin Li,et al. Automatic craniofacial registration based on radial curves , 2019, Comput. Graph..
[25] Antonio De Donno,et al. Facial approximation: Soft tissue thickness values for Caucasian males using cone beam computer tomography. , 2019, Legal medicine.
[26] Shuangmin Chen,et al. Computing Smooth Quasi-geodesic Distance Field (QGDF) with Quadratic Programming , 2020, Comput. Aided Des..
[27] Meng Yang,et al. A local modeling approach of craniofacial shape correlation based on PLSR , 2017, 2017 2nd International Conference on Image, Vision and Computing (ICIVC).
[28] Junli Zhao,et al. Craniofacial Reconstruction Based on Geodesic Regression Model , 2021, Journal of Computer-Aided Design & Computer Graphics.
[29] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[30] Fuqing Duan,et al. Craniofacial Reconstruction Using Gaussian Process Latent Variable Models , 2015, CAIP.
[31] Bailin Deng,et al. Parallel and Scalable Heat Methods for Geodesic Distance Computation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Ying He,et al. Saddle vertex graph (SVG) , 2013, ACM Trans. Graph..
[33] Mingquan Zhou,et al. A computerized craniofacial reconstruction method for an unidentified skull based on statistical shape models , 2020, Multimedia Tools and Applications.
[34] Liang Chang,et al. Craniofacial reconstruction based on least square support vector regression , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[35] Yun Tian,et al. 3D face reconstruction from skull by regression modeling in shape parameter spaces , 2015, Neurocomputing.
[36] Yongli Hu,et al. Craniofacial reconstruction based on multi-linear subspace analysis , 2012, Multimedia Tools and Applications.
[37] Jie Sun,et al. A Survey on 3D Face Recognition based on Geodesics , 2019, J. Inf. Hiding Multim. Signal Process..
[38] J A Sethian,et al. A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[39] Michel Desvignes,et al. 3D Semi-Landmarks Based Statistical Face Reconstruction , 2006, J. Comput. Inf. Technol..