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Boosting 3D LBP-Based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh
2016
IEEE Transactions on Information Forensics and Security
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In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. ...
Index Terms-Mesh-LBP, feature and score fusion, 3D face recognition. ...
ACKNOWLEDGMENT Preliminary ideas and experiments of the face mesh-LBP based face recognition approach appeared in [49] . ...
doi:10.1109/tifs.2016.2515505
fatcat:dc4cgo5jbve73ftm4crtgotxb4
Boosting 3D LBP-based face recognition by fusing shape and texture descriptors on the mesh
2015
2015 IEEE International Conference on Image Processing (ICIP)
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In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. ...
Index Terms-Mesh-LBP, feature and score fusion, 3D face recognition. ...
ACKNOWLEDGMENT Preliminary ideas and experiments of the face mesh-LBP based face recognition approach appeared in [49] . ...
doi:10.1109/icip.2015.7351287
dblp:conf/icip/TortoriciWB15
fatcat:b5clena5xbcz7hl4pdjbrk2xnq
Representing 3D texture on mesh manifolds for retrieval and recognition applications
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Through experiments conducted on two application scenarios, namely, 3D texture retrieval and 3D face recognition, we assess the effectiveness of the proposed solution with respect to state of the art approaches ...
In this paper, we present and experiment a novel approach for representing texture of 3D mesh manifolds using local binary patterns (LBP). ...
The mesh-LBP code is publicly available at Matlab Central: http://www.mathworks.com/matlabcentral/fileexchange/48875mesh-lbp ...
doi:10.1109/cvpr.2015.7298867
dblp:conf/cvpr/WerghiTBB15
fatcat:xau6qv6ojfhdhmnvewyeqfkncy
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
[article]
2019
arXiv
pre-print
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Our approach defines an inverse mapping between different geometric descriptors computed on the mesh surface or its down-sampled version, and the corresponding 2D texture image of the mesh, allowing the ...
effectively fusing shape and texture information at data level. ...
. 3-The proposed scheme allows us to intrinsically fuse texture and shape information at data-level by mapping 3D geometric information in terms of local descriptors onto 2D textured images. ...
arXiv:1904.04297v1
fatcat:mvki5yzbjjekte26i5rfga7n4q
Local circular patterns for multi-modal facial gender and ethnicity classification
2014
Image and Vision Computing
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In this paper, we present an effective and efficient approach on this issue by combining both boosted local texture and shape features extracted from 3D face models, in contrast to the existing ones that ...
only depend on either 2D texture or 3D shape of faces. ...
Conclusion In this paper, we present an effective and efficient approach on face based gender and ethnicity classification by combining both boosted local texture and shape features extracted from 3D face ...
doi:10.1016/j.imavis.2014.06.009
fatcat:xcac5emejje7doamlq4p4hdpjm
Two decades of local binary patterns
[chapter]
2015
Advances in Independent Component Analysis and Learning Machines
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2016 pre-print arXiv:1612.06795v1 fatcat:fl6lwn5fjfgbpgpuhzk3qh4tsuOther Versions
In recent years very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBP) have been developed, which has led to significant progress in applying texture ...
Due to this progress, the division between texture descriptors and more generic image or video descriptors has been disappearing. ...
Local Normal Binary Patterns (LNBP) employ the normals of the triangular polygons that form the 3D face mesh to encode the shape of the mesh at each point. ...
doi:10.1016/b978-0-12-802806-3.00009-9
fatcat:nijpnowuujeyhmwxekzygtwbtq
Representation, Analysis, and Recognition of 3D Humans
2018
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We further classify the methods based on the main characteristics of the 3D shape they capture. ...
Then, we focus on the analysis and recognition of 3D humans from 3D static and dynamic data, considering many applications for body and face. ...
[178] , presented a 3D face recognition approach which is both local and multi-modal. Using the mesh-LBP framework [177] , they computed shape and texture LBP directly on a mesh surface. ...
doi:10.1145/3182179
fatcat:ds55t4md2na2tibtyg4llerf3q
A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps
2014
Sensors
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In this paper, we propose a multi-modal 2D + 3D face recognition method for a smart city application based on a Wireless Sensor Network (WSN) and various kinds of sensors. ...
The experimental results also prove that the proposed multi-modal 2D + 3D method is superior to other multi-modal ones and CLDP performs better than other Local Binary Pattern (LBP) based features. ...
The fourth author, Leibo Liu, has provided numerous comments and suggestions for the experiments and writing the paper. ...
doi:10.3390/s141019561
pmid:25333290
pmcid:PMC4239878
fatcat:6vmwaknbxzg4hkpd2z5k7yooii
3D Face Recognition
[chapter]
2011
New Approaches to Characterization and Recognition of Faces
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This method includes, face finding, landmark finding, and template computation. They used weighted sum rule to fuse shape and texture scores. ...
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 ...
binary pattern (LBP) faces (3D) and texture LBP faces (2D). ...
doi:10.5772/18696
fatcat:3uoguw3bo5gmlpor63xbid25vy
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications
2016
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We define a new taxonomy for the field, encompassing all steps from face detection to facial expression recognition, and describe and classify the state of the art methods accordingly. ...
This paper presents a general overview of automatic RGB, 3D, thermal and multimodal facial expression analysis. ...
Its coding scheme is based on the position of key feature control points in a mesh model of the face. ...
doi:10.1109/tpami.2016.2515606
pmid:26761193
pmcid:PMC7426891
fatcat:ezwkw2bmhbdtlffz3uz3m3hoiy
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications
[article]
2016
arXiv
pre-print
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We define a new taxonomy for the field, encompassing all steps from face detection to facial expression recognition, and describe and classify the state of the art methods accordingly. ...
This paper presents a general overview of automatic RGB, 3D, thermal and multimodal facial expression analysis. ...
Its coding scheme is based on the position of key feature control points in a mesh model of the face. ...
arXiv:1606.03237v1
fatcat:t55kncgy6fgsvgi42pdgleu43m
Robust 3D Face Recognition by Local Shape Difference Boosting
2010
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Based on the SSDMs, three kinds of features are used to encode both the local similarity and the change characteristics between facial shapes. ...
Index Terms-3D shape matching, collective shape difference classifier, face recognition, signed shape difference map. ...
Then a metric was defined for comparing the unions based on the similarity between curves. 2. Shape descriptor-based. ...
doi:10.1109/tpami.2009.200
pmid:20724762
fatcat:szopol27mjhx7flwfckov5kziq
Facial Expression Recognition: A Review of Trends and Techniques
2021
IEEE Access
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Facial Expression Recognition (FER) is presently the aspect of cognitive and affective computing with the most attention and popularity, aided by its vast application areas. ...
We also include studies on expression intensity estimation from the face. ...
Likewise, [114] synthesised frontal face using 3D Generic Elastic Model (3DDEM) with texture mapping. [115] generate a frontal face from five facial landmark 3D mesh in a single reference. ...
doi:10.1109/access.2021.3113464
fatcat:hapy6t6ohneupiwh7meakzk3ma
A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution
2016
Image and Vision Computing
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We finish by assessing the state of the field and discussing promising directions for future research. ...
Heterogeneous face recognition (HFR) refers to matching face imagery across different domains. ...
[42] presented a scheme to improve results by fusing 2D and 3D matching. 2D LBP features are extracted from both the 2D image and the 2D projection of the 3D image; and then compared with Chi-squared ...
doi:10.1016/j.imavis.2016.09.001
fatcat:hy666szkk5bgfoazyxgwy6hli4
A cascade gray-stereo visual feature extraction method for visual and audio-visual speech recognition
2017
Speech Communication
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A C C E P T E D M A N U S C R I P T ferent characteristics of planar and stereo visual features, and we first show that using the stereo feature along with the planar feature can significantly boost the ...
Highlights • Develop a novel cascade feature extraction method for audio-visual speech recognition • Firstly show the depth visual information can significantly boost visual speech recognition • Firstly ...
Acknowledgment The AusTalk corpus was collected as part of the Big ASC project ( [38, 39, 40] ), funded by the Australian Research Council (LE100100211). See: ...
doi:10.1016/j.specom.2017.01.005
fatcat:hcos6munlrguho7r5u5dltbmsm
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