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Improved RGB-D-T based face recognition
2016
IET Biometrics
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RGB-D-T database. ...
This paper combines the latest successes in both directions by applying deep learning Convolutional Neural Networks (CNN) to the multimodal RGB-D-T based facial recognition problem outperforming previously ...
However, in this paper, we focused on the RGB-D-T based face recognition. ...
doi:10.1049/iet-bmt.2015.0057
fatcat:txwr6cmhjrd7lkl2iavziq3ooq
Robust RGB-D Face Recognition Using Attribute-Aware Loss
[article]
2019
arXiv
pre-print
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We train our face recognition model on a large-scale RGB-D data set with over 100K identities captured under real application conditions. ...
In this paper, we propose a new CNN-based face recognition approach that incorporates such attributes into the training process. ...
RGB-D Face Recognition In recent years, RGB-D based face recognition has attracted increasing attention because of its robustness in an unconstrained environment. Hsu et al. ...
arXiv:1811.09847v2
fatcat:asuc7a2aqja4xossvlbqrzkegu
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
[article]
2021
arXiv
pre-print
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The fully trained shared generator can then be used in runtime to hallucinate depth from RGB for downstream applications such as face recognition. ...
Moreover, face recognition experiments demonstrate that our hallucinated depth along with the input RGB images boosts performance across various architectures when compared to a single RGB modality by ...
RGB-D Face Recognition Early RGB-D facial recognition methods were proposed based on classical (non-deep) methods. Goswami et al. ...
arXiv:2104.02424v2
fatcat:ehycefwn5nht3crjtdqqv4fida
Face recognition robust to head pose changes based on the RGB-D sensor
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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We propose an approach to face recognition robust to head rotations utilizing the RGB-D face images. ...
., the recent RGB-D cameras, we study the advantage of using RGB-D images for face recognition, focusing on the challenge of 3D head pose variations. ...
Our major contributions in this paper include (1) a study of pose-invariant face recognition based on the RGB-D face images; (2) an appropriate scheme for head rotation in RGB-D images; and (3) a new face ...
doi:10.1109/btas.2013.6712718
dblp:conf/btas/CiaccioWG13
fatcat:zzvclf6kr5c4pp5hozxzaqt7gu
Face Recognition Using a Color Subspace LDA Approach
2008
2008 20th IEEE International Conference on Tools with Artificial Intelligence
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This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. ...
To test the accuracy of our methodology, we computed the recognition rate across two color face databases. ...
(C, D)
E
RR
S
T 1
T 2
1D-PCA
Gray, -
15 73.38 9.75 0.092 0.034
1D-PCA
RGB, -15 75.24 21.34 0.26 0.064
1D-PCA
HSV, -
15 82.27 21.6
0.26 0.064
1D-PCA
YIQ, -
15 75.0
21.3
0.26 0.067
1D-PCA ...
doi:10.1109/ictai.2008.146
dblp:conf/ictai/ThomasKK08
fatcat:qshoxxi7xzelfnxfsif5e7bwua
Color space normalization: Enhancing the discriminating power of color spaces for face recognition
2010
Pattern Recognition
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Specifically, the normalized RGB, XYZ, XGB, and ZRG color spaces are more effective than or as effective as the I 1 I 2 I 3 , YUV, YIQ and LSLM color spaces for face recognition. ...
Different color spaces usually display different discriminating power, and our experiments on a large scale face recognition grand challenge (FRGC) problem reveal that the RGB and XYZ color spaces are ...
The results in [45] further demonstrate that color cues can significantly improve recognition performance compared with intensity-based features for coping with low-resolution face images. ...
doi:10.1016/j.patcog.2009.11.014
fatcat:3fafjfjeavbl7otrxvrvskzuvi
RGB-D-T Based Face Recognition
2014
2014 22nd International Conference on Pattern Recognition
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The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. ...
This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations ...
D
T
All RGB
D
T
All RGB
D
T
All RGB
D
T
All
WNNC
Rot. ...
doi:10.1109/icpr.2014.302
dblp:conf/icpr/NikisinsNGM14
fatcat:hytqdrrwuvbjxdkfcigq2332pq
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
[article]
2020
arXiv
pre-print
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With recent advances in RGB-D sensing technologies as well as improvements in machine learning and fusion techniques, RGB-D facial recognition has become an active area of research. ...
A novel attention aware method is proposed to fuse two image modalities, RGB and depth, for enhanced RGB-D facial recognition. ...
CONCLUSION AND FUTURE WORK We presented an attention-based network to effectively fuse the RGB and depth modalities of RGB-D images for face recognition. ...
arXiv:2003.00168v3
fatcat:lhhh3v5z25atxo6423frplny64
Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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While most available computer vision techniques are based on RGB, in this paper, we investigate the effect of combining RGB, depth, and thermal facial images for pain intensity level recognition. ...
by more than 6% the results that only consider RGB data. ...
These three pain indexes are then fused together to recognize the pain level using: P I = w RGB P I RGB + w D P I D + w T P I T , (9) where w RGB , w I , w T are the weights associated to corresponding ...
doi:10.1109/cvprw.2015.7301341
dblp:conf/cvpr/IraniNSCEBLMPKP15
fatcat:3jekokhcuzbsnmr3dasaez3kvq
User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
[chapter]
2012
Lecture Notes in Computer Science
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We propose an automatic system for user identification and object recognition based on multi-modal RGB-Depth data analysis. ...
We model a RGBD environment learning a pixel-based background Gaussian distribution. ...
Supposing a RGBD Gaussian distribution for each pixel, the training procedure is performed as, μ x,t = (1 − α)μ x,t−1 + α D x,t max D t ∪ I x,t , (1) σ 2 x,t = (1 − α)σ 2 x,t−1 + α D x,t max D t ∪ I x, ...
doi:10.1007/978-3-642-31567-1_1
fatcat:nmcatezrqbdqjcwqcspyrikbcq
A Local Feature-Based Robust Approach for Facial Expression Recognition from Depth Video
2016
KSII Transactions on Internet and Information Systems
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For video-based facial expression recognition, depth cameras can be better candidates over RGB cameras as a person's face cannot be easily recognized from distance-based depth videos hence depth cameras ...
also resolve some privacy issues that can arise using RGB faces. ...
However, LBP-based features on RGB images can produce good recognition results for a person's face recognition rather than facial expression recognition. ...
doi:10.3837/tiis.2016.03.026
fatcat:mdtlpo2eqneljmfvbypenxvcce
Sign language recognition using dynamic time warping and hand shape distance based on histogram of oriented gradient features
2014
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '14
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In addition to our method that improves sign recognition accuracy, we propose a simple RGB-D alignment tool that can help roughly approximate alignment parameters between the color (RGB) and depth frames ...
Our results show an improvement over the original work of [14] , achieving an 82% accuracy in ranking signs in the 10 matches. ...
The rectangles bound various regions, including face and hands.
Figure 4 :Figure 5 : 45 Visualization of RGB-D alignment. ...
doi:10.1145/2674396.2674421
dblp:conf/petra/JangyodsukCA14
fatcat:5r4qcaysbjdi5hjvzmbygrmfna
Simultaneous Semi-Coupled Dictionary Learning for Matching RGBD Data
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Extensive experiments on three datasets, EURECOM, VAP RGB-D-T and Texas 3D Face Recognition database show the effectiveness of the proposed framework. ...
Dictionaries are learnt for the RGB, depth and the canonical data, such that the transformed sparse coefficients of the RGB and the depth data is equal to that of the canonical data. ...
Rank 1 recognition performance (%) of different algorithms on the Texas 3D Face Recognition database [10] [9] [8] for hidden information scenario RGB-RGB (R-R) and Depth-Depth (D-D) using both SIFT [17 ...
doi:10.1109/cvprw.2016.37
dblp:conf/cvpr/DasMB16
fatcat:v2qniaoxbjcxnkfonb3jr6id7m
AN EFFECTIVE COLOR FACE RECOGNITION BASED ON BEST COLOR FEATURE SELECTION ALGORITHM USING WEIGHTED FEATURES FUSION SYSTEM
2009
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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This paper aims to achieve the best color face recognition performance. ...
The effectiveness of color face recognition method has been successfully evaluated by the public face databases. ...
A learner m t h , is defined as follows: ) ( ) ( ) , ( min max ) ( max , d d d d n X h m n m t (1) Where m n d ) ( = S(Φm(x), Φm( g x n) ( )) S() is used to measure the distance between two input ...
doi:10.24297/ijct.v8i2.3386
fatcat:eg3kexyzezh4reff6v7cg5zfpu
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition
[article]
2018
arXiv
pre-print
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Human emotion recognition is an important direction in the field of biometric and information forensics. However, most existing human emotion research are based on the single RGB view. ...
We propose a new supervised nonlinear multi-view laplacian eigenmaps (MvLE) approach and a multihidden-layer out-of-sample network (MHON) for RGB-D humanemotion recognition. ...
Existing researches on human emotion recognition mainly focus on single view methods, such as physiological signals emotion recognition [1] - [3] , image-based face emotion recognition [4] , [5] , ...
arXiv:1811.03478v1
fatcat:ylt5mmopvvhzva32dfhtyp2neq
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