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Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels
2016
IEEE Transactions on Information Forensics and Security
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We also incorporate a salience-aware strategy into the proposed ensemble method to handle chaotic facial patterns in the scrambled domain, where random selections of features are made on semantic components ...
Consequently in these IoT applications, biometric verification needs to be carried out in the scrambled domain, presenting significant challenges in face recognition. ...
new ensemble approach -Many-Kernel Random Discriminant Analysis (MK-RDA) for scrambled face recognition. ...
doi:10.1109/tifs.2016.2555792
fatcat:d2gkr67vszebjb3xntnqr2dtge
SCRAMBLING FACE IMAGES FOR PRIVACY PROTECTION USING ARNOLD TRANSFORM
2017
International Journal of Advanced Research
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Number of studies has been proposed for protecting the face images. R. Jiang et al. [7] , proposes Face recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels. ...
Here, a salience-aware face recognition scheme was used to work with chaotic patterns in the scrambled domain. In the scrambled domain, semantic facial components simply become chaotic patterns. ...
Then kernel mapping based classifier is used for classifying the face images. During recombination, inflow of pixel values is avoided by conversion of number systems. ...
doi:10.21474/ijar01/2886
fatcat:4abfq6yr2vb4zpgdj5hl2npfeq
SURVEY ON CONTRIBUTIONS TOWARDS LIVE FACE RECOGNITION IN VIDEO STREAMING
2017
International Journal of Advanced Research
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a salience-aware face recognition scheme that can work with chaotic patterns in the scrambled domain. ...
new ensemble approach -Many-Kernel Random Discriminant Analysis (MK-RDA) for scrambled face recognition. ...
doi:10.21474/ijar01/3747
fatcat:efd4nvzu7babbem6tuuvjks5pu
Intelligent Video Data Security: A Survey and Open Challenges
2021
IEEE Access
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Face recognition in the scrambled domain via salience-aware ensembles of many kernels. Communications P14 Brkic. K et al. ...
However, the researchers also highlighted an issue with scrambling; namely, that chaotic signal processing approaches are required for face recognition in scrambling domains. ...
doi:10.1109/access.2021.3057605
fatcat:ysfjqskz2rgwtfgcjmjx4nqiky
Image splicing detection with local illumination estimation
2015
2015 IEEE International Conference on Image Processing (ICIP)
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It is noted that there has consistently been many papers about visual saliency appearing in ICIP over the past decade . ...
, face recognition, 3D face reconstruction) . ...
a human action recognition system that runs in realtime and uses a combination of a depth camera and an inertial sensor simultaneously . ...
doi:10.1109/icip.2015.7351341
dblp:conf/icip/FanCF15
fatcat:7ja5gjnp5rafvedc2nman7xcru
Sensation transference from plateware to food: The sounds and tastes of plates
2018
The International Journal of Food Design
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Short-term visual deprivation in adults improves sensitivity of the deprived eye and reduces sensitivity of the non-deprived eye, allowing the two eyes' inputs to be rebalanced at the level of binocular ...
In this talk, I will review the evidence for adult cortical plasticity using a variety of approaches. ...
of the head. ...
doi:10.1386/ijfd.3.1.41_1
fatcat:k6ftuwjokfbbbh6zygz5b4eowq
Asia Pacific Conference on Vision 2016 Abstracts
2016
i-Perception
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Can a subcortical route process emotional faces' holistic information without awareness or input from the fusiform face area (FFA)? ...
The results suggest that the development of facial expression recognition abilities in childhood is strongly linked to the development of perceptual skills and emotional conceptual knowledge. ...
Seeing the Mood of a Crowd: Ensemble Expressions for a Group of Different Identities Markus F. Neumann, 1 Sarah Griffiths, 2 Romina Palermo, 1 Linda Jeffery 1 and Gillian Rhodes 1 ...
doi:10.1177/2041669516685789
fatcat:oswpp6jwjffofjkormvt7dcw3u
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
2020
Chemical Reviews
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Given the increasing interest of the scientific community in machine learning, we expect this list to rapidly expand in the coming years. ...
In particular, we discuss applications in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis. ...
known as saliency mapping. ...
doi:10.1021/acs.chemrev.0c00004
pmid:32520531
pmcid:PMC7453404
fatcat:l2745cqxl5fcnnwty73j2ckkyq
39th European Conference on Visual Perception (ECVP) 2016 Barcelona
2016
Perception
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Even in the absence of facial input the brain recruits a face-sensitive region, the fusiform face area (FFA), to enhance auditory-only recognition of speakers known by face (''face-benefit''). ...
or Kernel Ridge Regression. ...
In the first experiment, human and robot faces were morphed (8 levels). ...
doi:10.1177/0301006616671273
fatcat:el2dmsuk6zd25pedijucuexl5m
Peripheral vision and pattern recognition: A review
2011
Journal of Vision
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The recognition of more complex stimuli, like textures, faces, and scenes, reveals a substantial impact of mid-level vision and cognitive factors. ...
A central topic is then the recognition of characters in peripheral vision, both at low and high levels of contrast, and the impact of surrounding contours known as crowding. ...
They attribute the advantage of happy faces to their particular saliency. However, the origin of such saliency remains elusive. ...
doi:10.1167/11.5.13
pmid:22207654
fatcat:cfp4k2cl2faedf4khndofsht5u
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
[article]
2020
arXiv
pre-print
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Given the increasing interest of the scientific community in ML, we expect this list to rapidly expand in the coming years. ...
In particular, we discuss applications in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis. ...
Acknowledgments The research in this article was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 666983, MaGic ...
arXiv:2001.06728v2
fatcat:cqtzxirbr5dkrplrwyo7yt7lze
Concept Embedding Analysis: A Review
[article]
2022
arXiv
pre-print
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For the computer vision domain in specific, practical assessment of DNNs requires a globally valid association of human interpretable concepts with internals of the model. ...
Deep neural networks (DNNs) have found their way into many applications with potential impact on the safety, security, and fairness of human-machine-systems. ...
Thanks to the consortia for the successful cooperation. ...
arXiv:2203.13909v1
fatcat:tpu2eobm2zeo7evuerphqoj7di
3D Object Representation and Recognition Based on Biologically Inspired Combined Use of Visual and Tactile Data
[article]
2021
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The main difference between the outcomes of the two algorithms is that the first approach results in saliencies spread over the surface of the objects while the second approach highlights one or two regions ...
In the context of this research, in the first step, computational models of visual attention are explored to determine salient regions on the surface of objects. ...
Model ensemble is another strategy for transfer learning where multiple classifiers contribute to make a prediction in target domain. TrAdaBoost [195] is an example of model ensemble strategy. ...
doi:10.20381/ruor-26344
fatcat:nn5wrduvlzdspmj4o6w3k6vdc4
166 Attentional capture and oculomotor control
1998
International Journal of Psychophysiology
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alone, with no reduction in the salience of the hair. ...
A DVN pattern is broad-band in the temporal as well as the spatial domain, and many lower temporal frequencies are present as well. ...
doi:10.1016/s0167-8760(98)90166-0
fatcat:7o5vmrk5zvbizd23bmpcbkrs7q
Learning Capacity in Simulated Virtual Neurological Procedures
2020
Journal of WSCG
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ACKNOWLEDGMENTS The authors acknowledge the support of the NSERC/Creaform Industrial Research Chair on 3-D Scanning for conducting the work presented in this paper. ...
This work was partially supported by a grant of Ministry of Research and Innovation, CNCS -UEFISCDI, project number PN-III-P4-ID-PCE-2016-0842, within PNCDI III. ...
In computer vision, many object recognition and object detection applications are based on saliency models [Bor13] . In 3D shape analysis, the concept of mesh saliency was introduced in [Lee05] . ...
doi:10.24132/csrn.2020.3001.13
fatcat:uytlm7nytrhmnk553ellfhl54a
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