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Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Active Shape Models-Their Training and Application
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Robust Face Detection Using the Hausdorff Distance
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_32openalex-snapshot
A Generative Shape Regularization Model for Robust Face Alignment
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_8openalex-snapshot
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
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Improved Statistical Techniques for Multi-part Face Detection and Recognition
inferredcites →https://doi.org/10.1007/978-3-642-10331-5_70openalex-snapshot
Locating Facial Features and Pose Estimation Using a 3D Shape Model
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_56openalex-snapshot
BRIEF: Binary Robust Independent Elementary Features
inferredcites →https://doi.org/10.1007/bf03253251openalex-snapshot
Robust facial landmarking for registration
inferredcites →https://doi.org/10.1007/bfb0054761openalex-snapshot
Estimating coloured 3D face models from single images: An example based approach
inferredcites →https://doi.org/10.1007/s11263-010-0380-4openalex-snapshot
Deformable Model Fitting by Regularized Landmark Mean-Shift
inferredcites →https://doi.org/10.1016/j.cviu.2007.09.014openalex-snapshot
Speeded-Up Robust Features (SURF)
inferredcites →https://doi.org/10.1016/j.cviu.2007.12.001openalex-snapshot
Facial feature extraction using complex dual-tree wavelet transform
inferredcites →https://doi.org/10.1016/j.imavis.2009.09.008openalex-snapshot
Facial feature localization using weighted vector concentration approach
inferredcites →https://doi.org/10.1016/j.patcog.2007.02.021openalex-snapshot
Robust facial feature tracking under varying face pose and facial expression
inferredcites →https://doi.org/10.1016/j.patcog.2008.01.024openalex-snapshot
Automatic feature localisation with constrained local models
inferredcites →https://doi.org/10.1016/j.patcog.2009.01.009openalex-snapshot
Facial feature detection using distance vector fields
inferredcites →https://doi.org/10.1016/j.patrec.2007.09.016openalex-snapshot
Real-time facial feature localization by combining space displacement neural networks
inferredcites →https://doi.org/10.1016/s0262-8856(02)00055-0openalex-snapshot
View-based active appearance models
inferredcites →https://doi.org/10.1016/s0262-8856(97)00070-xopenalex-snapshot
The FERET database and evaluation procedure for face-recognition algorithms
inferredcites →https://doi.org/10.1023/b:visi.0000013087.49260.fbopenalex-snapshot
Robust Real-Time Face Detection
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1023/b:visi.0000029666.37597.d3openalex-snapshot
Active Appearance Models Revisited
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/34.232073openalex-snapshot
Comparing images using the Hausdorff distance
inferredcites →https://doi.org/10.1109/34.879790openalex-snapshot
The FERET evaluation methodology for face-recognition algorithms
inferredcites →https://doi.org/10.1109/34.927464openalex-snapshot
From few to many: illumination cone models for face recognition under variable lighting and pose
inferredcites →https://doi.org/10.1109/afgr.2004.1301548openalex-snapshot
3D shape constraint for facial feature localization using probabilistic-like output
inferredcites →https://doi.org/10.1109/avss.2009.58openalex-snapshot
A 3D Face Model for Pose and Illumination Invariant Face Recognition
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.1997.609312openalex-snapshot
Parametrized structure from motion for 3D adaptive feedback tracking of faces
inferredcites →https://doi.org/10.1109/cvpr.2003.1211479openalex-snapshot
Object class recognition by unsupervised scale-invariant learning
inferredcites →https://doi.org/10.1109/cvpr.2004.1315210openalex-snapshot
Real-time combined 2D+3D active appearance models
inferredcites →https://doi.org/10.1109/cvpr.2004.315openalex-snapshot
Component-Based Face Recognition with 3D Morphable Models
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2005.255openalex-snapshot
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
inferredcites →https://doi.org/10.1109/cvpr.2005.582openalex-snapshot
Pose Angle Determination by Face, Eyes and Nose Localization
inferredcites →https://doi.org/10.1109/cvpr.2006.11openalex-snapshot
3D Alignment of Face in a Single Image
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2007.383284openalex-snapshot
3D Probabilistic Feature Point Model for Object Detection and Recognition
inferredcites →https://doi.org/10.1109/cvpr.2010.5539996openalex-snapshot
Facial point detection using boosted regression and graph models
inferredcites →https://doi.org/10.1109/cvpr.2011.5995602openalex-snapshot
Localizing parts of faces using a consensus of exemplars
inferredcites →https://doi.org/10.1109/icip.2006.312863openalex-snapshot
Multimodal 2D, 2.5D & 3D Face Verification
inferredcites →https://doi.org/10.1109/icpr.2006.537openalex-snapshot
Facial Components Detection with Boosting and Geometric Constraints
inferredcites →https://doi.org/10.1109/icpr.2006.849openalex-snapshot
Multiview Facial Feature Tracking with a Multi-modal Probabilistic Model
inferredcites →https://doi.org/10.1109/icsmc.2004.1398368openalex-snapshot
Facial features detection robust to pose, illumination and identity
inferredcites →https://doi.org/10.1109/icsmc.2005.1571392openalex-snapshot
Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boosted Classifiers
inferredcites →https://doi.org/10.1109/tpami.2002.1008382openalex-snapshot
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
inferredcites →https://doi.org/10.1109/tpami.2006.10openalex-snapshot
Feature-based detection of facial landmarks from neutral and expressive facial images
inferredcites →https://doi.org/10.1109/tpami.2008.106openalex-snapshot
Head Pose Estimation in Computer Vision: A Survey
inferredcites →https://doi.org/10.1109/tpami.2009.77openalex-snapshot
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
inferredcites →https://doi.org/10.1117/12.473032openalex-snapshot
Framework for performance evaluation of face recognition algorithms
inferredcites →https://doi.org/10.21236/ada444419openalex-snapshot
Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study
inferredcites →https://doi.org/10.5244/c.13.48openalex-snapshot
A Multi-View Nonlinear Active Shape Model Using Kernel PCA
inferredcites →https://doi.org/10.5244/c.18.30openalex-snapshot
A Multi-Stage Approach to Facial Feature Detection
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets
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Automated Detection of Craniofacial Landmarks on a 3D Facial Mesh
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HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?
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A Simplified Active Shape Model for Speeding-Up Facial Features Detection
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3D Face Recognitionacross Pose Extremities
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Dense Correspondence and Optical Flow Estimation Using Gabor, Schmid and Steerable Descriptors
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Registration of Range Images Using a Novel Technique of Centroid Alignment
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PTZ-Camera-Based Facial Expression Analysis using Faster R-CNN for Student Engagement Recognition
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A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier
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Video classification with Densely extracted HOG/HOF/MBH features: an evaluation of the accuracy/computational efficiency trade-off
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Hausdorff Distance with Outliers and Noise Resilience Capabilities
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Can Facial Pose and Expression Be Separated With Weak Perspective Camera?
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Facial expression recognition under a wide range of head poses
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Regressing a 3D Face Shape from a Single Image
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Additional file 1 of A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation
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