Manifold-based constraints for operations in face space-Reference-Cited by-同舟云学术

Manifold-based constraints for operations in face space

Published:2016-04 Issue: Volume:52 Page:206-217
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Patel Ankur,Smith William A.P.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Active shape models—their training and application;Cootes;Comput. Vis. Image Underst.,1995

2. R. Knothe, S. Romdhani, T. Vetter, Combining PCA and LFA for surface reconstruction from a sparse set of control points, In: Proceedings of the International Conference on Automatic Face and Gesture Recognition, 2006, pp. 637–644.

3. T.F. Cootes, G.J. Edwards, C.J. Taylor, Active appearance models, In: Proceedings of the ECCV, 1998, pp. 484–498.

4. Face recognition based on fitting a 3D morphable model;Blanz;IEEE Trans. Pattern Anal. Mach. Intell.,2003

5. Y.M. Lui, J.R. Beveridge, Grassmann registration manifolds for face recognition, In: Proceedings of the ECCV, 2008, pp. 44–57

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training;Computational Visual Media;2023-01-03

2. 3D Morphable Face Models—Past, Present, and Future;ACM Transactions on Graphics;2020-10-31

3. 3D Facial Similarity Measurement and Its Application in Facial Organization;ACM Transactions on Multimedia Computing, Communications, and Applications;2020-09-04

4. 3D facial expression modeling based on facial landmarks in single image;Neurocomputing;2019-08

5. What Does 2D Geometric Information Really Tell Us About 3D Face Shape?;International Journal of Computer Vision;2019-07-25