论文信息 - Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies - 字舞流文

Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

Rasmus R. Paulsen | Kristine Aavild Juhl | Ole De Backer | Xabier Morales | Oscar Camara | R. Paulsen | O. D. Backer | X. Morales | K. A. Juhl | Ó. Cámara

[1] Anil K. Jain,et al. Multimodal Facial Gender and Ethnicity Identification , 2006, ICB.

[2] Jakob Andreas Bærentzen,et al. Signed Distance Computation Using the Angle Weighted Pseudonormal , 2005, IEEE Trans. Vis. Comput. Graph..

[3] Alexei I. Zhurov,et al. A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features , 2018, Computational Visual Media.

[4] Rasmus Larsen,et al. Markov Random Field Surface Reconstruction , 2010, IEEE Transactions on Visualization and Computer Graphics.

[5] Driss Aboutajdine,et al. Boosting 3-D-Geometric Features for Efficient Face Recognition and Gender Classification , 2012, IEEE Transactions on Information Forensics and Security.

[6] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.

[7] Hameed R. Farhan,et al. Biological landmark Vs quasi-landmarks for 3D face recognition and gender classification , 2019, International Journal of Electrical and Computer Engineering (IJECE).

[8] Rasmus R. Paulsen,et al. Multi-view Consensus CNN for 3D Facial Landmark Placement , 2018, ACCV.

[9] HoppeHugues,et al. Surface Reconstruction from Unorganized Points , 1992 .

[10] Edwin R. Hancock,et al. Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification , 2008, SSPR/SPR.