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Context-aware hand poses classifying on images and video-sequences using a combination of wavelet transforms, PCA and neural networks

Phan Ngoc Hoang, Bui Thi Thu Trang
2017 EAI Endorsed Transactions on Context-aware Systems and Applications  
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

Anandh N, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
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]

Choon Boon Ng, Yong Haur Tay, Bok Min Goi
2012 arXiv   pre-print
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

Evan Hurwitz, Chigozie Orji
2019 Advances in Science, Technology and Engineering Systems  
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

Olufisayo Ekundayo, Serestina Viriri
2021 IEEE Access  
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

Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
2013 The 2013 International Joint Conference on Neural Networks (IJCNN)  
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

Rainhard D. Findling, Rene Mayrhofer
2012 Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12  
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

Matteo Spezialetti, Giuseppe Placidi, Silvia Rossi
2020 Frontiers in Robotics and AI  
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]

Matthias Wimmer, Zahid Riaz, Christoph Mayer, Bernd Radig
2008 Advances in Human Computer Interaction  
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]

Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
2013 arXiv   pre-print
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

Shahriar Shakir Sumit, Dayang Rohaya Awang Rambli, Seyedali Mirjalili
2021 IEEE Access  
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]

Matthias Wimmer, Christoph Mayer, Bernd Radig
2009 Lecture Notes in Computer Science  
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

Syeda Farha Shazmeen Syeda Farha Shazmeen
2013 IOSR Journal of Computer Engineering  
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

P. Karuppanan, K. Dhanalakshmi
2022 Intelligent Automation and Soft Computing  
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]

Markos Georgopoulos, Yannis Panagakis, Maja Pantic
2018 arXiv   pre-print
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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