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Robust Facial Data Recognition using Multimodal Fusion Features in Multi-Variant Face Acquisition
2013
International Journal of Computer Applications
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Existing work presented a multimodal (2D and 3D) face recognition algorithm by way of performing hybrid matching which was based on both feature and holistic metrics. ...
Case study and preliminary experimental results conducted in Mat lab proves to be a viable approach using multimodality method based on 2D and 3D facial representation for known faces. ...
We use hybrid model feature-based and holistic matching for the 3D faces and a holistic matching approach on the 2D faces. ...
doi:10.5120/10676-5548
fatcat:b3dk7ls5ufeyhipdyigyyeeble
3D face verification across pose based on euler rotation and tensors
2017
Multimedia tools and applications
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In this paper, we propose a new approach for 3D face verification based on tensor representation. ...
The dimensionality of the tensor is reduced based on the higher-order singular value decomposition (HOSVD). ...
CONCLUSION In this paper, we have proposed a new 3D face verification approach based on tensor analysis. ...
doi:10.1007/s11042-017-5478-z
fatcat:lnzyfvtoxzfpfjc4prl2y6k3jm
Efficient 3D Face Recognition with Gabor Patched Spectral Regression
2012
Computing and informatics
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Our experiments are based on the CASIA and FRGC 3D face databases which contain a huge number of challenging data. ...
In this paper, we utilize a novel framework for 3D face recognition, called 3D Gabor Patched Spectral Regression (3D GPSR), which can overcome some of the continuing challenges encountered with 2D or 3D ...
Comparison with 2D Face Recognition Technologies In this experiment, we made detailed comparisons between 3D face recognition based on 3D depth images and 2D face recognition based on 2D intensity images ...
dblp:journals/cai/MingRW12
fatcat:744q5omwyfhfjehryrifwda7iu
Integration of local and global geometrical cues for 3D face recognition
2008
Pattern Recognition
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We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. ...
Each local tensor field is integrated with every global field in a 2D histogram which is indexed by a local field in one dimension and a global field in the other dimension. ...
Face recognition by matching 3D surfaces has shown better performance compared to 2D recognition [1] . This is an indication that the 3D shape has a significant amount of information. ...
doi:10.1016/j.patcog.2007.07.009
fatcat:2vjr3ujvbncl5fdxcu4vmjthma
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
2006
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a novel 3D model-based algorithm which performs this task automatically and efficiently. ...
Correspondences are automatically established between these views by simultaneously matching the tensors of a view with those of the remaining views using a hash table-based voting scheme. ...
1 to 7, 11, 12, 15, 20, and 22); Cyberware for providing 3D models (16, 17, and 24); and Princeton University for providing 3D models (21, 25 to 29, 32 to 43, 45 to 50). ...
doi:10.1109/tpami.2006.213
pmid:16986541
fatcat:az54im5tvng4dnzz5ukqrn3ini
Face Recognition Revisited on Pose, Alignment, Color, Illumination and Expression-PyTen
2016
International Journal of Science and Research (IJSR)
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and computation efficient training procedure. ...
Our approach is based on feature sharing structure of deep network called Pyramid CNN (Pyramid Convolutional Neural Network) which has known to adopt a greedy filter and down sampling approach for a fast ...
Tensors can be unfolded to n-mode mathematical objects for feature extraction and classification. 3D color image is unfolded to obtain 2D tensors based on multi linear analysis criteria. ...
doi:10.21275/v5i3.nov161995
fatcat:eme36lxhxja6tn2wnogngxwtxu
A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images
2006
International Journal of Computer Vision
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Our algorithm uses a novel tensor representation which represents semi-local 3D surface patches of a range image by third order tensors. Multiple tensors are used to represent each range image. ...
Experimental results show that our algorithm is accurate and efficient. ...
Carnegie Mellon University, USA for providing range data and mesh toolbox; Stanford University, USA for providing 3D models and VripPack; The University of Stuttgart, Germany for providing range data. ...
doi:10.1007/s11263-005-3221-0
fatcat:yfc76ocqgzguxmfueebcg624oy
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
2007
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Our algorithm is multimodal (2D and 3D) and performs hybrid (feature based and holistic) matching in order to achieve efficiency and robustness to facial expressions. ...
The pose of a 3D face along with its texture is automatically corrected using a novel approach based on a single automatically detected point and the Hotelling transform. ...
ACKNOWLEDGMENTS The authors would like to thank the organizers of FRGC, Jonathon Phillips, Kevin Bowyer, and Patrick Flynn, for providing the face data. ...
doi:10.1109/tpami.2007.1105
pmid:17848775
fatcat:53w3fmbnd5defkolrjljpnd6le
Face Recognition Using 2D and 3D Multimodal Local Features
[chapter]
2006
Lecture Notes in Computer Science
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The 3D features are extracted by uniformly sampling local regions of the face in locally defined coordinate bases which makes them invariant to pose. ...
In the 2D domain, we use the SIFT descriptor and fuse the results with the 3D approach at the score level. ...
Matching 2D and 3D Local Features It is possible to make the matching process much more efficient by using indexing or hashing. ...
doi:10.1007/11919476_86
fatcat:xvo6embwtrahbm7cogqgbl76he
3D Face Recognition
[chapter]
2009
Guide to Biometric Reference Systems and Performance Evaluation
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In this paper, we present a new 3D face recognition approach. ...
We present results on the largest known, and now publicly-available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. ...
By utilizing a deformable model we map the 3D geometry information onto a 2D regular grid, thus combining the descriptiveness of 3D data with the computational efficiency of 2D data. ...
doi:10.1007/978-1-84800-292-0_9
fatcat:tunzqdiojngkzhpbkh6rn42ogq
Motion Features from Lip Movement for Person Authentication
2006
18th International Conference on Pattern Recognition (ICPR'06)
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This corresponds to the solutions of simple matrix eigenvalue problems in 2D, affording increased computational efficiency. ...
This paper describes a new motion based feature extraction technique for speaker identification using orientation estimation in 2D manifolds. ...
This solution is computationally efficient alternative to the optical flow computations based on 3D eigenvalue analysis. ...
doi:10.1109/icpr.2006.814
dblp:conf/icpr/FarajB06
fatcat:ytjcun2rrbcsdpvrvwfkyn3s3q
3D Recognition and Segmentation of Objects in Cluttered Scenes
2005
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
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We generate a library of 3D models off-line and represent each model with our tensor-based representation. Tensors represent local surface patches of the models and are indexed by a 4D hash table. ...
Our experiments show that this novel algorithm is efficient and it gives accurate results for cluttered and occluded range images. ...
We performed 3D segmentation of the range images as opposed to a 2D segmentation. ...
doi:10.1109/acvmot.2005.2
dblp:conf/wacv/MianBO05
fatcat:oknyya2ftrcd3dhw3sumuurpym
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
2007
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we present the computational tools and a hardware prototype for 3D face recognition. ...
We present our results on the largest known, and now publicly available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. ...
By utilizing a deformable model, we map the 3D geometry information onto a 2D regular grid, thus combining the descriptiveness of 3D data with the computational efficiency of 2D data. ...
doi:10.1109/tpami.2007.1017
pmid:17299221
fatcat:vh665dzsrvau7eyytrr675prja
Evaluation of Histograms Local Features and Dimensionality Reduction for 3D Face Verification
2015
Journal of Information Processing Systems
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The paper proposes a novel framework for 3D face verification using dimensionality reduction based on highly distinctive local features in the presence of illumination and expression variations. ...
The proposed method has been tested on CASIA-3D face database and the experimental results show that our method achieves a high verification performance. ...
used to improve the performance of a 3D face verification system based on 3D depth images. ...
doi:10.3745/jips.02.0037
fatcat:e7qt2qevazezvi3cle43un72vq
A 3D model-based approach for fitting masks to faces in the wild
[article]
2021
arXiv
pre-print
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To circumvent this issue, we present a 3D model-based approach called WearMask3D for augmenting face images of various poses to the masked face counterparts. ...
mask back to 2D. ...
The main contributions of this work are as follows: + WearMask3D, an efficient mask-fitting pipeline based on the 3D morphable model and head pose estimation to produce natural masked faces across a wide ...
arXiv:2103.00803v2
fatcat:t52j4ohfa5btplkihr5rt4z5l4
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