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Personalized Face Modeling for Photorealistic Synthesis
2015
Journal of International Society for Simulation Surgery
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Due to the importance of faces, computer-assisted face modeling and reconstruction have been actively studied both in computer vision and graphics community. ...
In this paper, we discuss a wide range of existing work in face modeling by introducing their target applications, categorizing them upon their methodology and addressing their strength and weakness on ...
(46) and (38) developed extremely powerful face model so that they are robust against the harsh lighting and shadows. ...
doi:10.18204/jissis.2015.2.2.047
fatcat:g64jwwl3gncgrj3ur2dky3hpsm
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition
2015
IEEE Transactions on Pattern Analysis and Machine Intelligence
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the key challenges of illumination variations, registration errors, head-pose variations, occlusions, and identity bias. ...
We discuss the role of these components and highlight the models and new trends that are followed in their design. ...
Summary The appearance representations that extract local features or involve local filtering (see Table 1 ) are robust against illumination variations to an extent. ...
doi:10.1109/tpami.2014.2366127
pmid:26357337
fatcat:5uv4jaqu4nhihnkwcpqimvylye
Review of Technical Approaches to Face Recognition with Varying Pose and Illumination in Unconstrained Scenes
2017
FUOYE Journal of Engineering and Technology
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In this paper, a review of some technical approaches to face recognition challenged with varying illumination and pose is conducted. ...
Difficulties inherent in human face recognition from unconstrained and motion characterized scenes are usually accounted for due to varying illumination and pose of subjects in the scenes. ...
Adaptive appearance model tracking models like the Active Appearance Model (AAM) uses the coordinates of feature points and the difference between the immediate estimate of an image appearance and its ...
doi:10.46792/fuoyejet.v2i1.48
fatcat:ghvgu2wlanesbixp7cbcsjmm2y
Linear colour correction for multiple illumination changes and non-overlapping cameras
2015
IET Image Processing
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This study addresses the correction of photometric variations based upon changes in background areas to correct foreground areas. ...
In correction mode, the authors apply a double linear correction model based on learned relations. ...
This paper focuses on a colour correction of foreground (FG) objects (persons) based upon observed variations in the BG in multi-camera scenarios. This correction is composed of a double mapping. ...
doi:10.1049/iet-ipr.2014.0149
fatcat:fy5oistioncy5dmmbmcxpjjila
A Model Based Approach for Expressions Invariant Face Recognition
[chapter]
2009
Lecture Notes in Computer Science
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The approach follows in 1) modeling an active appearance model (AAM) parameters for the face image, 2) using optical flow based temporal features for facial expression variations estimation, 3) and finally ...
combination of shape, texture and temporal parameters that is robust against facial expression variations. ...
Principal Component Analysis (PCA) is used to obtain the texture and shape parameters of the example image. This approach is similar to extracting Active Appearance Model (AAM) parameters. ...
doi:10.1007/978-3-642-01793-3_30
fatcat:5mb7lfoqjnfprmoydgzvcintsq
Automatic multi-view face recognition via 3D model based pose regularization
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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Procrustes analysis is then applied to align the synthetic target images and the query image, and block based MLBP features are extracted for face matching. ...
The pose of a query face image is also estimated using a multi-view face detector so that the synthetic target face images can be generated to resemble the pose variation of a query face image. ...
[5] No No FERET(±40 • ) View Based CMU-PIE(±45 • ) Active Appearance Model Multi-PIE(±45 • ) FacePix(±45 • ) Ding et al. ...
doi:10.1109/btas.2013.6712735
dblp:conf/btas/NiinumaHJ13
fatcat:m2ixkw747jedjiui4xk5kx2yle
Robust facial expression classification using shape and appearance features
2015
2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)
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2015 pre-print arXiv:1505.04030v1 fatcat:owh575wjsfdnfcfsvjvdxtsgy4
By using linear discriminant analysis, the dimensionality of the feature is reduced which is further classified by using the support vector machine (SVM). ...
This paper represents an approach of combining the shape and appearance features to form a hybrid feature vector. ...
Therefore, researchers depend upon face geometry and appearance parameters [3] , [4] for robust recognition of expressions. ...
doi:10.1109/icapr.2015.7050661
dblp:conf/icapr/HappyR15
fatcat:63bacjoqq5ez5lj43dfvwvu3mu
A Novel Appearance Model and Adaptive Condensation Algorithm for Human Face Tracking
2008
2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems
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These test video sequences show that our method is robust to illumination, appearance, and pose changes, as well as temporary occlusions. ...
In addition, local linearity of an appearance manifold is used in conjunction with a new criterion to select a tangent plane for updating an appearance in face tracking. ...
Fig. 4 . 4 Demonstration of robustness to illumination, appearance and pose variations, and occlusions Fig. 5. ...
doi:10.1109/btas.2008.4699372
fatcat:cm3xtr7tw5fcthxaruaqf2c2xq
Pose-Robust Recognition of Low-Resolution Face Images
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Tensor analysis is used for facial landmark localization in the low-resolution uncontrolled probe images for computing the features. ...
Face images captured by surveillance cameras usually have poor resolution in addition to uncontrolled poses and illumination conditions, all of which adversely affect performance of face matching algorithms ...
ACKNOWLEDGMENT This research was funded by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the Army Research Laboratory (ARL ...
doi:10.1109/tpami.2013.68
pmid:24136439
fatcat:dkj5dwvz4bc7xebo3m3l5x36om
Pose-robust recognition of low-resolution face images
2011
CVPR 2011
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Tensor analysis is used for facial landmark localization in the low-resolution uncontrolled probe images for computing the features. ...
Face images captured by surveillance cameras usually have poor resolution in addition to uncontrolled poses and illumination conditions, all of which adversely affect performance of face matching algorithms ...
ACKNOWLEDGMENT This research was funded by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the Army Research Laboratory (ARL ...
doi:10.1109/cvpr.2011.5995443
dblp:conf/cvpr/BiswasAF11
fatcat:7z44tx2rc5fsbofhinmy7srqxi
Automated Face Recognition: Challenges and Solutions
[chapter]
2016
Pattern Recognition - Analysis and Applications
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Thus, this chapter introduces the topic of computer automated face recognition in light of the main challenges in that research field and the developed solutions and applications based on image processing ...
for face recognition are well established, the automatic recognition of faces captured by digital cameras in unconstrained, real-world environment is still very challenging, since it involves important variations ...
Active appearance models The active appearance model (AAM) [64] combines shape and texture features; thus it is slower but more robust for AFR than active shape models (ASM). ...
doi:10.5772/66013
fatcat:hty4tc6i6zaq5m3fxh7stn4via
Automated Facial Expression Recognition System
2009
43rd Annual 2009 International Carnahan Conference on Security Technology
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Over the past 30 years, scientists have developed human-observer based methods that can be used to classify and correlate facial expressions with human emotion. ...
The Automated Facial Expression Recognition System (AFERS) automates the manual practice of FACS, leveraging the research and technology behind the CMU/PITT Automated Facial Image Analysis System (AFA) ...
variation; (ii) offer greater invariance to global illumination variation and occlusion; (iii) model the non-rigid object as an ensemble of low dimensional independent patch-experts; and (iv) not employ ...
doi:10.1109/ccst.2009.5335546
fatcat:k3vfxueblzgubghs66elr6pw44
A 3D Morphable Eye Region Model for Gaze Estimation
[chapter]
2016
Lecture Notes in Computer Science
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We present a new multi-part model of the eye that includes a morphable model of the facial eye region, as well as an anatomy-based eyeball model. ...
We fit our model to an image through analysis-bysynthesis, solving for eye region shape, texture, eyeball pose, and illumination simultaneously. ...
Previous approaches for remote RGB gaze estimation can be categorized as either appearance-based, feature-based, or model-based [3] . ...
doi:10.1007/978-3-319-46448-0_18
fatcat:dm362rpktffvrb3we6krxsqsmu
A Robust Automated Vision Based Filamentous Steel Strip Crack Detection System Based on Neuron Model Segmentation
2020
International journal of recent technology and engineering
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The proposed method can be stated as an augmented variational framework that employs multi-directional filters for local crack-region identification followed by automated multi-directional region growing ...
and iterative contour evolution which performs level set energy minimization to achieve accurate crack detection even under topological non-linearity and varying illumination conditions Simulation results ...
The proposed VMS model in conjunction with active Contour Propagation and multi-directional filters based Local Feature Extraction (LFE) enabled realization of a variational framework driven by level sets ...
doi:10.35940/ijrte.f8368.038620
fatcat:3o5x7v4y5jda5pgcdmhacsdlqi
Investigating age invariant face recognition based on periocular biometrics
2011
2011 International Joint Conference on Biometrics (IJCB)
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And then we ap ply robust Walsh-Hadamard transform encoded local bi nary patterns (WLBP) on preprocessed periocular region only. ...
[12] used the active appear ance models (AAM) [2] , a statistical face model, to study age estimation problems. ...
Therefore, proposed age invariant features that work on these databases also have to be robust against the variations in illumination, poses and facial expressions. ...
doi:10.1109/ijcb.2011.6117600
dblp:conf/icb/Juefei-XuLSBS11
fatcat:lmocephld5b77aqdf2cp27foli
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