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Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors
2014
International Journal of Computer Vision
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Registration algorithms performed on point clouds or range images of face scans have been successfully used for automatic 3D face recognition under expression variations, but have rarely been investigated ...
Recently, local feature-based SIFT-like match-Communicated by C. Schnörr. ...
Recently, it has also been extended to expression-insensitive 3D face recognition (Li et al. 2009 (Li et al. , 2014 and multi-pose 3D face recognition (Guo et al. 2013) . ...
doi:10.1007/s11263-014-0785-6
fatcat:3dd24ybd5fdivgxgi7yhl64oki
Representation, Analysis, and Recognition of 3D Humans
2018
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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The latter also accounts for the temporal component in dynamic data (i.e., sequences of 3D scans acquired with 3D cameras). ...
Several surveys exist on 3D methods, but they are more focused on individual tasks, such as 3D face recognition [121, 152] , 3D emotion and expression recognition [42, 139] , 3D action recognition [95] ...
[56] , approximated the shape of an expressional 3D face as the sum of a basic facial shape component, representing the basic face structure and neutral-style shape, and an expressional shape component ...
doi:10.1145/3182179
fatcat:ds55t4md2na2tibtyg4llerf3q
Geometrical descriptors for human face morphological analysis and recognition
2012
Robotics and Autonomous Systems
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Face is the most important part of human anatomy, and its study has many scopes. This survey may be used as a starting point for elaborating and implementing an algorithm for 3D facial recognition. ...
A main aim is obviously to "copy" this recognition mechanism of the brain and to use it as a means for face recognition. ...
[13] presented a general 3D face recognition method based on point cloud kernel correlation and kernel density estimation for registration, which doesn't make use of a training set of faces or point ...
doi:10.1016/j.robot.2012.01.003
fatcat:dxocyht73raarpsftfkqhlry4u
GeoTopo: Dynamic 3D Facial Expression Retrieval Using Topological and Geometric Information
[article]
2014
Eurographics Workshop on 3D Object Retrieval, EG 3DOR
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Recently, a lot of research has been dedicated to address the problem of facial expression recognition in dynamic sequences of 3D face scans. ...
To this end, a novel descriptor is created, namely GeoTopo, capturing the topological as well as the geometric information of the 3D face scans along time. ...
Table 1 : 1 Publicly available 3D video facial expression datasets. , 3D landmark tracking is applied and the tracked landmarks are used for curvature-based feature ex- traction. ...
doi:10.2312/3dor.20141043
fatcat:pcyvs2cuxbdgrmeqp4y4appypi
Automatic 3D face verification from range data
2003
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)
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In this paper, we presented a novel approach for automatic 3D face verification from range data. The method consists of range data registration and comparison. ...
To speed up the registration, a simplified version of the model is generated for each model in the model database. ...
Gordon [2, 3] presented a template-based recognition system involving descriptors based on curvature calculations from range image data. ...
doi:10.1109/icme.2003.1221266
dblp:conf/icmcs/PanWP03
fatcat:glvg5wbz7jh4fe2kqwl6eoczqi
Spotting the Details: The Various Facets of Facial Expressions
2018
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
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We present a novel high-quality 3D Facial Expression Morphable Model built from a large-scale face database as a tool for expression analysis and synthesis. ...
Fitted to a face scan, the model's parameters compactly encode its expression patterns. This expression code can be used, for instance, as a feature in automatic facial expression recognition. ...
ACKNOWLEDGEMENTS We kindly thank Sophie Buchner and Alexander Tack for their valuable support and discussions during preparation of this paper. ...
doi:10.1109/fg.2018.00049
dblp:conf/fgr/GreweRPZ18
fatcat:vj3yxyn2azg25gxydekwxsf2yu
Multiscale 3D Feature Extraction and Matching
2011
2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission
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This work is motivated by the scale-space theory for images. Scale-space based techniques have proven very successful for dealing with noise and scale changes in matching applications for 2D images. ...
This representation is shown to be insensitive to noise, computationally efficient, and capable of automatic scale selection. Examples in face detection and surface registration are given. ...
In the offline (training) stage, a classifier is trained with a set of 3D human faces. The training set consists of faces with and without expressions. ...
doi:10.1109/3dimpvt.2011.36
dblp:conf/3dim/FadaifardW11
fatcat:r2boj5lhmfakvaqggdjdxgrnma
Performance Evaluation and Prediction for 3D Ear Recognition
[chapter]
2005
Lecture Notes in Computer Science
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This paper addresses two interrelated problems: (a) proposes an integrated local descriptor for representation to recognize human ears in 3D. ...
Existing ear recognition approaches do not give theoretical or experimental performance prediction. Therefore, the discriminating power of ear biometric for human identification cannot be evaluated. ...
We calculate the RMS registration errors between 3D ears in the probe set with 3D ears in the gallery. ...
doi:10.1007/11527923_78
fatcat:waglxthlareu3o3fsnyhhrioae
PointNet++ and Three Layers of Features Fusion for Occlusion Three-Dimensional Ear Recognition Based on One Sample per Person
2020
Symmetry
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For holistic feature extraction, we use a voxelization method for global matching. For the fusion component, we use a weighted fusion method to recognize the 3D ear. ...
For local and LJS feature extraction, we propose an LJS feature descriptor–pairwise surface patch cropped using a symmetrical hemisphere cut-structured histogram with an indexed shape (PSPHIS) descriptor ...
Based on a local appearance descriptor, the ear data are normalized and the smooth region is removed, resulting in reduced ear data size for registration. ...
doi:10.3390/sym12010078
fatcat:vqafaoobd5gv5ffeoibivfztle
Learning weighted sparse representation of encoded facial normal information for expression-robust 3D face recognition
2011
2011 International Joint Conference on Biometrics (IJCB)
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Moreover, the patch based weights learned using the FRGC v1.0 and Bosphorus datasets also demonstrate the importance of each facial physical component for 3D face recognition. ...
This paper proposes a novel approach for 3D face recognition by learning weighted sparse representation of encoded facial normal information. ...
of machine learning and demonstrate their effects for expression-robust 3D face recognition. ...
doi:10.1109/ijcb.2011.6117555
dblp:conf/icb/LiHMC11
fatcat:khrs7tbsdrbntdw2s3nhod4qdu
3D face recognition: a survey
2018
Human-Centric Computing and Information Sciences
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Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would ...
Many researchers have turned their focuses to 3D face recognition and made this research area a new trend. A general work flow for 3D face recognition is shown in Fig. 1 . ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s13673-018-0157-2
fatcat:xwhabcqu6zgy7bezu5744hgvhq
Robust binary neural networks based 3D Face detection and accurate face registration
2013
International Journal of Computational Intelligence Systems
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Then we present a novel framework to implement the 3D face registration by several integrated phases. First we use Principal Component Analysis(PCA) to roughly correct the server misalignment. ...
Based on the results of the 3D nose tip localization, the main face area is detected and cropped from the original 3D image. ...
In section 2, The methodology for nose tip identification based on Multi Shell 3D Shape Descriptor and kNN AU-RA is presented. Section 3 proposes the integrated face registration method. ...
doi:10.1080/18756891.2013.802873
fatcat:dkfrhqgxjfdkxhtbgznmmje6lm
3D Face Compression and Recognition using Spherical Wavelet Parametrization
2012
International Journal of Advanced Computer Science and Applications
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Two representation features based on spherical wavelet parameterization of the face image were proposed for the 3D face compression and recognition. ...
Second, the use of spherical based wavelet coefficients for efficient representation of the 3D face. ...
An average recognition rate of 70% was achieved for images with neutral expression and for the images with pose and facial expressions. ...
doi:10.14569/ijacsa.2012.030901
fatcat:p2rgc2x2bzajtmkw6ucbc2glla
EI3D: Expression-invariant 3D face recognition based on feature and shape matching
2016
Pattern Recognition Letters
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This paper presents a local feature based shape matching algorithm for expression-invariant 3D face recognition. ...
During face recognition, a probe face is compared against each gallery face using both local feature matching and 3D point cloud registration. ...
Therefore, the final 3D face recognition performance is insensitive to facial expressions. ...
doi:10.1016/j.patrec.2016.04.003
fatcat:drrok6ez55fztd467od5wxktuu
3D Face Recognition
[chapter]
2007
Face Recognition
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Model-based approaches The key idea of model-based techniques for 3D face recognition is based on so-called 3D morphable models. ...
between surfaces for 3D face recognition. ...
Face Recognition This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying ...
doi:10.5772/4848
fatcat:kwnkqce5kza4hk6zrkupcvmr6i
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