Multi-Feature Tensor Neighborhood Preserving Embedding for 3D Facial Expression Recognition

Multi-Feature Tensor Neighborhood Preserving Embedding for 3D Facial Expression Recognition

To investigate an effective representation model for 3D facial expression recognition, this paper proposes a multi-feature tensor neighborhood preserving embedding (MFTNPE) method, which seeks various attribute features from raw textured shape scan models of 3D facial expression to construct a multi...

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Bibliographic Details
Main Authors: Yajie Jiang, Qiuqi Ruan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D facial expression recognition
multi-feature
tensor decomposition
tensor representation
tensor neighborhood preserving embedding
Online Access:https://ieeexplore.ieee.org/document/9500117/

Internet

https://ieeexplore.ieee.org/document/9500117/

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