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Context-aware hand poses classifying on images and video-sequences using a combination of wavelet transforms, PCA and neural networks
2017
EAI Endorsed Transactions on Context-aware Systems and Applications
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The proposed hand poses classifying on images algorithm based on Viola-Jones method, wavelet transform, PCA and neural networks. ...
Then, on the second step, the features of hand pose are extracted using combination of wavelet transform and PCA. ...
In this paper we propose a novel context-aware algorithm for hand pose classifying based on combination of Viola-Jones method, wavelet transform, PCA and neural networks. ...
doi:10.4108/eai.6-7-2017.152758
fatcat:7dpbhkiopjat7lh73oyssidwyq
Study Of Deep Learning Techniques For Differently Abled Applications And Detection Techniques
2021
Turkish Journal of Computer and Mathematics Education
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Vision is the major sensing organ of the human and to assist the VIP regarding this, there are various digital vision products are in the market which is based on digital technologies and advanced algorithms ...
Due to the increase development of machine learning and deep learning algorithms, the digital image recognition and object recognition are become more efficient. ...
The evaluated results of this experiment obtained 96% of accuracy using the hybrid approach of Discrete Wavelet Transform (DWT) and PCA/ICA to reduce the dimension and used SVM as a classifier. ...
doi:10.17762/turcomat.v12i10.5396
fatcat:zw45ghte4vaavpjgdxa4emjlb4
Vision-based Human Gender Recognition: A Survey
[article]
2012
arXiv
pre-print
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We highlight the challenges faced and survey the representative methods of these approaches. ...
Based on the results, good performance have been achieved for datasets captured under controlled environments, but there is still much work that can be done to improve the robustness of gender recognition ...
A widely used method for face detection is by Viola and Jones [2] , which has an OpenCV implementation. ...
arXiv:1204.1611v1
fatcat:qoanqj7tkjfrjlf3blw3wh4p54
Multi Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
2019
Advances in Science, Technology and Engineering Systems
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These were experimented with, using images from Carl's database and Terravic Facial Infrared Database, and used to train clusters of neural network algorithms for each biometric trait. ...
After feature extraction, using Fast Wavelet Transform (FWT), and Linear Discriminant Analysis (LDA). ...
Opinions expressed and conclusions arrived at, are those of the author and are not necessarily to be attributed to the NRF. ...
doi:10.25046/aj040609
fatcat:encp26fhnvgg7pvpiroph4cm2m
Facial Expression Recognition: A Review of Trends and Techniques
2021
IEEE Access
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Several studies have been conducted on FER, and many review works are also available. The existing FER review works only give an account of FER models capable of predicting the basic expressions. ...
This work first introduces some identified FER application areas and provides a discussion on recognised FER challenges. ...
[87] enhanced the Viola and Jones algorithm with range and intensity data from the Time of Flight (ToF) camera. ...
doi:10.1109/access.2021.3113464
fatcat:hapy6t6ohneupiwh7meakzk3ma
Infrared face recognition: A literature review
2013
The 2013 International Joint Conference on Neural Networks (IJCNN)
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However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease ...
This paper presents a comprehensive and timely review of the literature on this subject. ...
Following the localization of a face in an image, their method was based on combining the results of neural network based classification of grey level histograms and locally averaged appearance, and supervised ...
doi:10.1109/ijcnn.2013.6707096
dblp:conf/ijcnn/GhiassABM13a
fatcat:qxeo4uvj65fdhe5nsanq3kqgcy
Towards face unlock
2012
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12
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In this paper, we analyze current methods to face detection and recognition regarding their usability in the mobile domain, and then propose an approach to a Face Unlock system on a smart phone intended ...
social networks or other media. ...
The images contained in our preliminary face database have been taken by Christine Aigner in a high quality and colored form as part of her bachelor thesis and got preprocessed to the form stated in section ...
doi:10.1145/2428955.2429008
dblp:conf/momm/FindlingM12
fatcat:hddhy2vpfve7fmzeowuqouqttm
Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives
2020
Frontiers in Robotics and AI
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We focus on facial expressions, body poses and kinematics, voice, brain activity, and peripheral physiological responses, also providing a list of available datasets containing data from these modalities ...
Our aim is to review the state of the art of currently adopted emotional models, interaction modalities, and classification strategies and offer our point of view on future developments and critical issues ...
Two GWR network learned samples of pose and motion and, subsequently, a recurrent variant of GWR, namely gamma-GWR, to take in account temporal context. ...
doi:10.3389/frobt.2020.532279
pmid:33501307
pmcid:PMC7806093
fatcat:czai5k2azjbnfobryzzkh5jxwy
Recognizing Facial Expressions Using Model-based Image Interpretation
[chapter]
2008
Advances in Human Computer Interaction
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This publication focuses on one aspect of the challenge: recognizing facial expressions. Our approach achieves real-time performance and provides robustness for realworld applicability. ...
This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer ...
Their classification is based on supervised neural network learning. ...
doi:10.5772/5912
fatcat:vigwr3ws35cb5ixdz7e6343qcq
Infrared face recognition: a literature review
[article]
2013
arXiv
pre-print
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However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease ...
This paper presents a comprehensive and timely review of the literature on this subject. ...
Following the localization of a face in an image, their method was based on combining the results of neural network based classification of grey level histograms and locally averaged appearance, and supervised ...
arXiv:1306.1603v1
fatcat:m73uxek72vbt7a4uvjlkd3kitu
Vision-Based Human Detection Techniques: A Descriptive Review
2021
IEEE Access
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Table 1 illustrates a brief evaluation of Viola-Jones, SIFT, PCA-SIFT and SURF methods.
B. ...
VIOLA-JONES MODEL The Viola-Jones [53] face detection algorithm is the first framework for robust face detector -proposed in 2001 by P. Viola and M. Jones [53] . ...
doi:10.1109/access.2021.3063028
fatcat:bklvpd5sqraq7pb3xe7w5sueli
Recognizing Facial Expressions Using Model-Based Image Interpretation
[chapter]
2009
Lecture Notes in Computer Science
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This publication focuses on one aspect of the challenge: recognizing facial expressions. Our approach achieves real-time performance and provides robustness for realworld applicability. ...
This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer ...
Their classification is based on supervised neural network learning. ...
doi:10.1007/978-3-642-00525-1_33
fatcat:nl4x3vrtgvgohiodpjcitfecem
Performance Evaluation of Different Data Mining Classification Algorithm and Predictive Analysis
2013
IOSR Journal of Computer Engineering
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Based on the combination of the four features, Fisher developed a linear discriminant model to distinguish the species from each other classification method to identify the class of Iris flower as Irissetosa ...
In this paper we have worked with different data mining applications and various classification algorithms, these algorithms have been applied on different dataset to find out the efficiency of the algorithm ...
For this we designed our SNS in php which has the primary features of any Social Networking Site like Facebook. Then we implemented few of the proposed policies on it. ...
doi:10.9790/0661-1060106
fatcat:ffw6zxhlajaljmhstlrz6tbqhe
Criminal Persons Recognition Using Improved Feature Extraction Based Local Phase Quantization
2022
Intelligent Automation and Soft Computing
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Further, Person Identification based deep neural network (PI-DNN) has proposed are expected to provide a high recognition rate. ...
A major concern of facial recognition is achieving the accuracy on classification, precision, recall and F1-Score. ...
, Multi k-Nearest Neighbor algorithm (KNN), and back-propagation, neural network and proposed method Reference Method % Accuracy [25] PCA+BPNN 88 [26] LDA 89.5 [27] Gabor+NMF 95 [28] DCT 91.5 [29] FKNN ...
doi:10.32604/iasc.2022.023712
fatcat:hjh5tdgmsremdkto3wyjxuvbny
Modeling of Facial Aging and Kinship: A Survey
[article]
2018
arXiv
pre-print
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2018 pre-print arXiv:1802.04636v1 fatcat:ulanapksg5dq5kedtt3xijo22a
Computational facial models that capture properties of facial cues related to aging and kinship increasingly attract the attention of the research community, enabling the development of reliable methods ...
In particular, we provide an up-to date, complete list of available annotated datasets and an in-depth analysis of geometric, hand-crafted, and learned facial representations that are used for facial aging ...
Experiments on context-aware kinship verification are performed and are presented in the subsection 7.7. ...
arXiv:1802.04636v2
fatcat:hh3dl5j5gzdzfl7yap44ku3xxm
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