Dictionary Learning Based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose

By C. Ferrari, Giuseppe Lisanti, Stefano Berretti, A. del Bimbo. 2015

48 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Iacopo Masi
2. Anh Tuan Tran
3. Tal Hassner
4. Gérard G. Medioni
5. Louis-philippe Morency

In Computer Vision and Pattern Recognition

1. Tal Hassner
2. Gérard G. Medioni
3. Anh Tuan Tran
4. Iacopo Masi
5. Luc Van Gool
6. Andrea Vedaldi
7. Ramkant Nevatia
8. Xiaogang Wang

Citations in the corpus

• Generating 3D faces using Convolutional Mesh Autoencoders (2018, neutral): “To capture localized facial details, Neumann et al. [33] and Ferrari et al. [19] use sparse linear models.”
• Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019, methodology): “Others have since proposed different methods for the same underlying idea of frontaliza-tion (e.g., [3], [9], [39], [40], [41], [42]).”
• Do We Really Need to Collect Millions of Faces for Effective Face Recognition? (2016, methodology): “To our knowledge, it was originally proposed in [10] and then effectively used by [39,11,23,8].”