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Expression Robust 3D Facial Landmarking via Progressive Coarse-to-Fine Tuning

https://doi.org/10.1145/3282833
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.1995.1004openalex-snapshot
Active Shape Models-Their Training and Application
inferredcites →https://doi.org/10.1007/978-3-540-89991-4_6openalex-snapshot
Bosphorus Database for 3D Face Analysis
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_49openalex-snapshot
Interactive Facial Feature Localization
inferredcites →https://doi.org/10.1007/s00371-011-0611-xopenalex-snapshot
3D facial expression recognition using SIFT descriptors of automatically detected keypoints
inferredcites →https://doi.org/10.1007/s11263-010-0360-8openalex-snapshot
Anthropometric 3D Face Recognition
inferredcites →https://doi.org/10.1007/s11263-012-0549-0openalex-snapshot
Random Forests for Real Time 3D Face Analysis
inferredcites →https://doi.org/10.1007/s11263-012-0605-9openalex-snapshot
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes
inferredcites →https://doi.org/10.1007/s11263-014-0785-6openalex-snapshot
Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors
inferredcites →https://doi.org/10.1016/0734-189x(86)90220-3openalex-snapshot
Invariant surface characteristics for 3D object recognition in range images
inferredcites →https://doi.org/10.1016/j.cviu.2015.07.005openalex-snapshot
An efficient multimodal 2D + 3D feature-based approach to automatic facial expression recognition
inferredcites →https://doi.org/10.1016/j.imavis.2012.02.004openalex-snapshot
3D/4D facial expression analysis: An advanced annotated face model approach
inferredcites →https://doi.org/10.1016/j.patcog.2005.09.009openalex-snapshot
3D face detection using curvature analysis
inferredcites →https://doi.org/10.1016/j.patcog.2017.04.013openalex-snapshot
Deep, dense and accurate 3D face correspondence for generating population specific deformable models
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1049/ip-f-2.1992.0058openalex-snapshot
Automatic location of visual features by a system of multilayered perceptrons
inferredcites →https://doi.org/10.1109/34.927467openalex-snapshot
Active appearance models
inferredcites →https://doi.org/10.1109/afgr.2008.4813324openalex-snapshot
A high-resolution 3D dynamic facial expression database
inferredcites →https://doi.org/10.1109/btas.2008.4699324openalex-snapshot
3D Facial Landmarking under Expression, Pose, and Occlusion Variations
inferredcites →https://doi.org/10.1109/btas.2008.4699390openalex-snapshot
3D Facial Landmark Localisation by Matching Simple Descriptors
inferredcites →https://doi.org/10.1109/btas.2014.6996267openalex-snapshot
A coarse-to-fine approach to robust 3D facial landmarking via curvature analysis and Active Normal Model
inferredcites →https://doi.org/10.1109/cvpr.1994.323814openalex-snapshot
View-based and modular eigenspaces for face recognition
inferredcites →https://doi.org/10.1109/cvpr.2005.441openalex-snapshot
Detection of Anchor Points for 3D Face Veri.cation
inferredcites →https://doi.org/10.1109/cvpr.2013.75openalex-snapshot
Supervised Descent Method and Its Applications to Face Alignment
inferredcites →https://doi.org/10.1109/cvpr.2014.218openalex-snapshot
Face Alignment at 3000 FPS via Regressing Local Binary Features
inferredcites →https://doi.org/10.1109/fg.2013.6553713openalex-snapshot
Real time 3D face alignment with Random Forests-based Active Appearance Models
inferredcites →https://doi.org/10.1109/fgr.2006.23openalex-snapshot
Automatic Feature Extraction for Multiview 3D Face Recognition
inferredcites →https://doi.org/10.1109/iccv.2013.191openalex-snapshot
Robust Face Landmark Estimation under Occlusion
inferredcites →https://doi.org/10.1109/iccv.2015.433openalex-snapshot
Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network
inferredcites →https://doi.org/10.1109/iccv.2017.116openalex-snapshot
How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)
inferredcites →https://doi.org/10.1109/ijcb.2011.6117555openalex-snapshot
Learning weighted sparse representation of encoded facial normal information for expression-robust 3D face recognition
inferredcites →https://doi.org/10.1109/tcyb.2014.2359056openalex-snapshot
3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features
inferredcites →https://doi.org/10.1109/tifs.2012.2206807openalex-snapshot
3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching
inferredcites →https://doi.org/10.1109/tip.2014.2361204openalex-snapshot
Robust 3D Face Landmark Localization Based on Local Coordinate Coding
inferredcites →https://doi.org/10.1109/tmm.2009.2017629openalex-snapshot
3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model
inferredcites →https://doi.org/10.1109/tmm.2016.2557063openalex-snapshot
Muscular Movement Model-Based Automatic 3D/4D Facial Expression Recognition
inferredcites →https://doi.org/10.1109/tmm.2016.2591508openalex-snapshot
Learning Cascaded Deep Auto-Encoder Networks for Face Alignment
inferredcites →https://doi.org/10.1109/tpami.2003.1227983openalex-snapshot
Face recognition based on fitting a 3D morphable model
inferredcites →https://doi.org/10.1109/tpami.2007.1105openalex-snapshot
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
inferredcites →https://doi.org/10.1109/tpami.2012.247openalex-snapshot
3D Facial Landmark Detection under Large Yaw and Expression Variations
inferredcites →https://doi.org/10.1109/tsmcb.2009.2038233openalex-snapshot
Automatic Face Segmentation and Facial Landmark Detection in Range Images
inferredcites →https://doi.org/10.1109/tsmcb.2011.2148711openalex-snapshot
Accurate Landmarking of Three-Dimensional Facial Data in the Presence of Facial Expressions and Occlusions Using a Three-Dimensional Statistical Facial Feature Model
inferredcites →https://doi.org/10.1145/3131345openalex-snapshot
Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos
inferredcites →https://doi.org/10.5244/c.25.30openalex-snapshot
Accurate Regression Procedures for Active Appearance Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-37890-4_6openalex-snapshot
Automatic Detection of Facial Landmarks for Denture Models
inferred← citeshttps://doi.org/10.1007/s00530-025-01716-6openalex-snapshot
SEMNet: a simple and efficient MLP-based network for 3D Face point clouds landmarks localization
inferred← citeshttps://doi.org/10.1007/s11042-022-13248-6openalex-snapshot
A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.iswa.2025.200479openalex-snapshot
Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871184openalex-snapshot
3D Facial Landmark Localization for cephalometric analysis
inferred← citeshttps://doi.org/10.1109/fg47880.2020.00095openalex-snapshot
3D Landmark Localization in Point Clouds for the Human Ear
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00564openalex-snapshot
Extending Convolutional Pose Machines for Facial Landmark Localization in 3D Point Clouds
inferred← citeshttps://doi.org/10.1145/3550274openalex-snapshot
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-reference Metric
inferred← citeshttps://doi.org/10.3390/s22010250openalex-snapshot
Two-Stage Segmentation Framework Based on Distance Transformation
inferred← citeshttps://doi.org/10.4018/979-8-3693-0502-7.ch019openalex-snapshot
Fine-Grained Deep Feature Expansion Framework for Fashion Apparel Classification Using Transfer Learning
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