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Personalized Face Modeling for Photorealistic Synthesis

Kyungmin Kim, Hyunjung Shim
2015 Journal of International Society for Simulation Surgery  
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

Evangelos Sariyanidi, Hatice Gunes, Andrea Cavallaro
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Temitayo M Fagbola, Stephen O Olabiyisi, Funmilola I Egbetola, Ayodele Oloyede
2017 FUOYE Journal of Engineering and Technology  
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

Juan Torres, Henri Bouma, Jose-Manuel Menéndez, Klamer Schutte
2015 IET Image Processing  
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]

Zahid Riaz, Christoph Mayer, Matthias Wimmer, Michael Beetz, Bernd Radig
2009 Lecture Notes in Computer Science  
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

Koichiro Niinuma, Hu Han, Anil K. Jain
2013 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
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

S L Happy, Aurobinda Routray
2015 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)  
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

Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley
2008 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems  
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

Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn, Kevin W. Bowyer
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Soma Biswas, Gaurav Aggarwal, Patrick J. Flynn
2011 CVPR 2011  
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]

Joanna Isabelle Olszewska
2016 Pattern Recognition - Analysis and Applications  
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

Andrew Ryan, Jeffery F. Cohn, Simon Lucey, Jason Saragih, Patrick Lucey, Fernando De la Torre, Adam Rossi
2009 43rd Annual 2009 International Carnahan Conference on Security Technology  
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]

Erroll Wood, Tadas Baltrušaitis, Louis-Philippe Morency, Peter Robinson, Andreas Bulling
2016 Lecture Notes in Computer Science  
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  
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

Felix Juefei-Xu, Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen
2011 2011 International Joint Conference on Biometrics (IJCB)  
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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