New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data
In this paper, we developed a new robust part-based model for facial landmark localization and detection via affine transformation. In contrast to the existing works, the new algorithm incorporates affine transformations with the robust regression to tackle the potential effects of outliers and heav...
Saved in:
Main Authors: | Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Modelling and Simulation in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/9995074 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Perspective of Signal Processing
by: Peidong Liang, et al.
Published: (2021-01-01) -
New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius and L2,1 Norms
by: Habte Tadesse Likassa
Published: (2020-01-01) -
Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism
by: Savina Jassica Colaco, et al.
Published: (2025-01-01) -
Komparasi Metode Klasifikasi untuk Deteksi Ekspresi Wajah Dengan Fitur Facial Landmark
by: Fitra A. Bachtiar, et al.
Published: (2021-10-01) -
Landmarks in the law /
by: Denning, Lord Baron, 1899-1999
Published: (1982)