Adaptive Weighted Face Alignment by Multi-Scale Feature and Offset Prediction
Traditional heatmap regression methods have some problems such as the lower limit of theoretical error and the lack of global constraints, which may lead to the collapse of the results in practical application. In this paper, we develop a facial landmark detection model aided by offset prediction to...
Main Authors: | Jingwen Li, Jiuzhen Liang, Hao Liu, Zhenjie Hou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | IET Biometrics |
Online Access: | http://dx.doi.org/10.1049/2023/6636386 |
Similar Items
-
Face alignment based on the multi-scale local features
by: Geng, Cong, et al.
Published: (2013) -
Face alignment based on fusion subspace and 3D fitting
by: Jiahui Zhang, et al.
Published: (2021-01-01) -
Integrally Cooperative Spatio-Temporal Feature Representation of Motion Joints for Action Recognition
by: Xin Chao, et al.
Published: (2020-09-01) -
Multi-feature shape regression for face alignment
by: Wei-Jong Yang, et al.
Published: (2018-08-01) -
A probabilistic collaborative dictionary learning‐based approach for face recognition
by: Shilin Lv, et al.
Published: (2021-03-01)