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Rank-Based Decision Fusion for 3D Shape-Based Face Recognition [chapter]

Berk Gökberk, Albert Ali Salah, Lale Akarun
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In 3D face recognition systems, 3D facial shape information plays an important role. Various shape representations have been proposed in the literature.  ...  In the second part of the paper, two different multiple-classifier architectures are developed to fuse individual shape-based face recognizers in parallel and hierarchical fashions at the decision level  ...  For this purpose, we have developed five different 3D shape-based face recognizers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11527923_106">doi:10.1007/11527923_106</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5q2y3vsjxrdqne46owvkfeh3cu">fatcat:5q2y3vsjxrdqne46owvkfeh3cu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060326112527/http://yunus.cmpe.boun.edu.tr:80/~gokberk/avbpa2005.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/89/fc893ca2a05bf667d9a313290192132f8421487d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11527923_106"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Robust Facial Data Recognition using Multimodal Fusion Features in Multi-Variant Face Acquisition

A. Manchula, S. Arumugam
<span title="2013-02-15">2013</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Our proposed work presented a Feature Based Multimodality Face Recognition System to recognize the human individuals in environment of known faces using features like shape of the eyes, nose and jaw.  ...  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.  ...  We use hybrid model feature-based and holistic matching for the 3D faces and a holistic matching approach on the 2D faces.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/10676-5548">doi:10.5120/10676-5548</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b3dk7ls5ufeyhipdyigyyeeble">fatcat:b3dk7ls5ufeyhipdyigyyeeble</a> </span>
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Selection and Extraction of Patch Descriptors for 3D Face Recognition [chapter]

Berk Gökberk, Lale Akarun
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In 3D face recognition systems, 3D facial shape information plays an important role. 3D face recognizers usually depend on point cloud representation of faces where faces are represented as a set of 3D  ...  In addition to the subset selection methodology, we have extracted patch descriptors and coded them using Linear Discriminant Analysis (LDA).  ...  Statistical Feature Extraction Results For PCA and LDA-based face representation methods, we use a different patch formation scheme.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11569596_74">doi:10.1007/11569596_74</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4tmwtekfsrbazl6kbwrq3ax42m">fatcat:4tmwtekfsrbazl6kbwrq3ax42m</a> </span>
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3D Face Recognition Based on Facial Shape Indexes with Dynamic Programming [chapter]

Hwanjong Song, Ukil Yang, Sangyoun Lee, Kwanghoon Sohn
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
For face recognition method, we define and extract facial shape indexes based on facial curvature characteristics and perform dynamic programming.  ...  This paper describes a 3D face recognition method using facial shape indexes. Given an unknown range image, we extract invariant facial features based on the facial geometry.  ...  Acknowledgments This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research Center (BERC) at Yonsei University.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11608288_14">doi:10.1007/11608288_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pqkb4jqul5arnauz2d3qjs3teq">fatcat:pqkb4jqul5arnauz2d3qjs3teq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505024741/https://link.springer.com/content/pdf/10.1007%2F11608288_14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/61/3f61f15036a8fde01a9aa986b6527e24ea451861.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11608288_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition [article]

Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu
<span title="2018-03-30">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
face shapes explicitly and separately based on a composite 3D face shape model with latent representations.  ...  discriminative shape features for face recognition can be accomplished simultaneously.  ...  Other researchers [32, 38] utilized the reconstructed 3D face shapes for face alignment to assist extracting pose-robust features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.11366v1">arXiv:1803.11366v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/47knonszdnhtposmrmhjpxdsfe">fatcat:47knonszdnhtposmrmhjpxdsfe</a> </span>
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Representation, Analysis, and Recognition of 3D Humans

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu
<span title="2018-03-06">2018</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xdpft7x43zeqnbvjpgywfvawym" style="color: black;">ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)</a> </i> &nbsp;
REPRESENTATIONS OF 3D HUMANS Representations of the 3D human body and face are usually built on low level descriptors that model static (spatial) and dynamic (spatio-temporal) data for extracting meaningful  ...  Then, we focus on the analysis and recognition of 3D humans from 3D static and dynamic data, considering many applications for body and face.  ...  Coupled with a 3D-3D face matching pipeline, they also showed face recognition results on the LFW, YTF and IJB-A benchmarks using 3D face shapes as representations. Face Recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3182179">doi:10.1145/3182179</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ds55t4md2na2tibtyg4llerf3q">fatcat:ds55t4md2na2tibtyg4llerf3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200324065359/https://hal.archives-ouvertes.fr/hal-01686193/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e2/a8/e2a8f37b087700b8000a7cc20c044a613eb2ed82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3182179"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

3D shape-based face recognition using automatically registered facial surfaces

M.O. Irfanoglu, B. Gokberk, L. Akarun
<span title="">2004</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jsl2pgelqja2piczru3a6nqkg4" style="color: black;">Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.</a> </i> &nbsp;
In this paper, we address the use of three dimensional facial shape information for human face identification. We propose a new method to represent faces as 3D registered point clouds.  ...  Experiments done on the 3D RMA dataset show that the proposed algorithm performs as good as the point signature method, and it is statistically superior to the point distribution model-based method and  ...  Point signature (PS) technique is a commonly used local feature-based surface representation method that has been applied to the 3D face recognition problem [4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2004.1333734">doi:10.1109/icpr.2004.1333734</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/IrfanogluGA04.html">dblp:conf/icpr/IrfanogluGA04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbxnbewnvrakxmsiu56ajp6g4y">fatcat:sbxnbewnvrakxmsiu56ajp6g4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20041204094443/http://www.cmpe.boun.edu.tr:80/~gokberk/icpr2004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/56/bb562d026664e53cada5e78ff99d9b8f223117e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2004.1333734"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Robust Face Recognition with Deeply Normalized Depth Images [article]

Ziqing Feng, Qijun Zhao
<span title="2018-05-01">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The PEN depth image is finally passed to Net_F, which extracts a robust feature representation via another DCNN for face recognition.  ...  Depth information has been proven useful for face recognition. However, existing depth-image-based face recognition methods still suffer from noisy depth values and varying poses and expressions.  ...  Feature Extraction Network Feature extraction network takes the deeply normalized depth image as input and extracts from it a robust feature representation, for face recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.00406v1">arXiv:1805.00406v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q2xjeejvsvghhp364w5r4hhb7q">fatcat:q2xjeejvsvghhp364w5r4hhb7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200924230339/https://arxiv.org/pdf/1805.00406v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/bc/6fbc58272384ede0efa72753d78f1ef6db381ad7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.00406v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

3D face recognition by projection-based methods

Helin Dutagaci, Bülent Sankur, Yücel Yemez, Edward J. Delp III, Ping Wah Wong
<span title="2006-02-02">2006</span> <i title="SPIE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aauf57th6zd4diqxn2jsimb7fm" style="color: black;">Security, Steganography, and Watermarking of Multimedia Contents VIII</a> </i> &nbsp;
We apply the feature extraction techniques to three different representations of registered faces, namely, 3D point clouds, 2D depth images and 3D voxel. We consider both global and local features.  ...  In this paper, we investigate recognition performances of various projection-based features applied on registered 3D scans of faces.  ...  CONCLUSION In this work, several feature types are proposed for the recognition of pre-registered 3D face data. The features are extracted from three different face representations of the face data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.643089">doi:10.1117/12.643089</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sswmc/DutagaciSY06.html">dblp:conf/sswmc/DutagaciSY06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mks2uxmpurewfdwhrggpsujdee">fatcat:mks2uxmpurewfdwhrggpsujdee</a> </span>
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Geometrical and Visual Feature Quantization for 3D Face Recognition

Walid Hariri, Hedi Tabia, Nadir Farah, David Declercq, Abdallah Benouareth
<span title="">2017</span> <i title="SCITEPRESS - Science and Technology Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tyl5kfigejfehnouax7r3tii24" style="color: black;">Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</a> </i> &nbsp;
In this paper, we present an efficient method for 3D face recognition based on vector quantization of both geometrical and visual proprieties of the face.  ...  The method starts by describing each 3D face using a set of orderless features, and use then the Bag-of-Features paradigm to construct the face signature.  ...  Most existing recognition methods are based on the 2D appearance of faces and discard their 3D shapes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0006101701870193">doi:10.5220/0006101701870193</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/visapp/HaririTFDB17.html">dblp:conf/visapp/HaririTFDB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h2fzcbbbpjcgppkjxyylivjg7m">fatcat:h2fzcbbbpjcgppkjxyylivjg7m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226132117/http://pdfs.semanticscholar.org/7f04/b65f2c6f96c7ce000f537fb691a93f61db52.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/04/7f04b65f2c6f96c7ce000f537fb691a93f61db52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0006101701870193"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition [chapter]

Chenghua Xu, Tieniu Tan, Stan Li, Yunhong Wang, Cheng Zhong
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose a novel approach to 3D-based face recognition. First, a novel representation, called intrinsic features, is presented to encode local 3D shapes.  ...  3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods.  ...  Quan for valuable discussions and proofreading this paper. This work is supported by research funds from the Natural Science  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11744047_32">doi:10.1007/11744047_32</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/36w5syvop5arbplbw67mpgp24e">fatcat:36w5syvop5arbplbw67mpgp24e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809153214/http://nlpr-web.ia.ac.cn/2006papers/gjhy/gh57.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/64/37/64378b2694db5a4d6cdcab831822a27df3b2765a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11744047_32"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

3D Face Recognition [chapter]

Naser Zaeri
<span title="2011-08-01">2011</span> <i title="InTech"> New Approaches to Characterization and Recognition of Faces </i> &nbsp;
A face-based biometric system consists of acquisition devices, preprocessing, feature extraction, data storage and a comparator.  ...  and Recognition of Faces 48 In this chapter, we study 3D face recognition where we provide a description of the most recent 3D based face recognition techniques and try to coarsely classify them into  ...  Other 3D face recognition approaches In order to enhance robustness to expression variations, a procedure for 3D face recognition based on the depth image and Speeded-Up Robust Features (SURF) Operator  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/18696">doi:10.5772/18696</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uoguw3bo5gmlpor63xbid25vy">fatcat:3uoguw3bo5gmlpor63xbid25vy</a> </span>
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3D Face Recognition: A Survey [article]

Yaping Jing, Xuequan Lu, Shang Gao
<span title="2021-08-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In recent years, the research on face recognition has shifted to using 3D facial surfaces, as more discriminating features can be represented by the 3D geometric information.  ...  The main contribution of this survey is that it comprehensively covers both conventional methods and deep learning methods on 3D face recognition.  ...  [109] proposed a scale-space based representation for 3D shape matching which is stable against surface noise.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11082v1">arXiv:2108.11082v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/drpuqdt6ore5dje4hiamsmi43i">fatcat:drpuqdt6ore5dje4hiamsmi43i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210910220502/https://arxiv.org/pdf/2108.11082v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/c2/a6c2575214c344c1756712c4e6484f322675f524.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11082v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

3D Face Recognition based on Local Conformal Parameterization and Iso-Geodesic Stripes Analysis

Chenlei Lv, Junli Zhao
<span title="2018-10-25">2018</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
3D face recognition is an important topic in the field of pattern recognition and computer graphic.  ...  We propose a novel approach for 3D face recognition using local conformal parameterization and iso-geodesic stripes. In our framework, the 3D facial surface is considered as a Riemannian 2-manifold.  ...  We also thank the facial database (Texas3D and Bosphorus3D) providers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2018/4707954">doi:10.1155/2018/4707954</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/47s325fp55gzvkzea4u6rddn2e">fatcat:47s325fp55gzvkzea4u6rddn2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190303104845/http://pdfs.semanticscholar.org/ac3c/384160bf39cc702fca10f72829f384813eae.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/3c/ac3c384160bf39cc702fca10f72829f384813eae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2018/4707954"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Deep 3D Face Identification [article]

Donghyun Kim, Matthias Hernandez, Jongmoo Choi, Gerard Medioni
<span title="2017-03-30">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As opposed to 2D face recognition, training discriminative deep features for 3D face recognition is very difficult due to the lack of large-scale 3D face datasets.  ...  We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique.  ...  Representations for 3D objects can be classified into two categories: model-based methods and viewbased methods. In model-based methods, a whole 3D model is used for feature extraction. Wu et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1703.10714v1">arXiv:1703.10714v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zcqlrtfrgrcbjgpvrhq37jvpj4">fatcat:zcqlrtfrgrcbjgpvrhq37jvpj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200913065515/https://arxiv.org/pdf/1703.10714v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/26/20260d36506911e04ad1efed1e60b06bfc178d52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1703.10714v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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