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Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching [chapter]

Weiping Chen, Yongsheng Gao
2010 Lecture Notes in Computer Science  
This paper presents a novel string-based face recognition approach to address the partial occlusion problem in face recognition.  ...  Automatically recognizing human faces with partial occlusions is one of the most challenging problems in face analysis community.  ...  In this paper, we propose a novel Stringface representation and matching concept for face recognition with one single model image per person under partial occlusions.  ... 
doi:10.1007/978-3-642-15558-1_36 fatcat:n7mp5xiug5dudg7jalfq4w6htq

Improved CT algorithm based on target block division and feature points matching

Wenhao Wang, Mingxin Jiang, Yunyang Yan, Xiaobing Chen, Wendong Zhao
2018 EURASIP Journal on Image and Video Processing  
For compressive tracking (CT) algorithm, it is vulnerable to the occlusion, when tracking targets.  ...  When the target is in normal tracking or partial occlusion, the target is located accurately by the sub-block with the highest discrimination degree.  ...  Authors' information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13640-018-0302-x fatcat:4ee6kju4kfcczpv34jvgzlp5zu

Stochastic models for recognition of occluded targets

Bir Bhanu, Yingqiang Lin
2003 Pattern Recognition  
Stochastic models provide some attractive features for pattern matching and recognition under partial occlusion and noise.  ...  Recognition of occluded objects in synthetic aperture radar (SAR) images is a signiÿcant problem for automatic target recognition.  ...  To deal with partial occlusion, subgraph matching is proposed to ÿnd the matching between the image and a portion of a model.  ... 
doi:10.1016/s0031-3203(03)00182-1 fatcat:am3ijumbcjai7mgos2fbef5udi

Detection, Recognition and Tracking of Moving Objects from Real-time Video via SP Theory of Intelligence and Species Inspired PSO [article]

Kumar S Ray, Sayandip Dutta, Anit Chakraborty
2017 arXiv   pre-print
The concept of SP Theory of Intelligence which is a framework of artificial intelligence, was first introduced by Gerard J Wolff, where S stands for Simplicity and P stands for Power.  ...  After successful recognition of objects, we use species based PSO algorithm as the alignments of our object of interest is analogues to observation likelihood and fitness ability of species.  ...  The complications we face, as suggested by [35] in the process of a scene analysis are: • Partial occlusion is one of the primary anomalies in the process of scene analysis.  ... 
arXiv:1704.07312v1 fatcat:vejhllvolvevfisctan4i227v4

A Survey of Iris Biometrics Research: 2008–2010 [chapter]

Kevin W. Bowyer, Karen P. Hollingsworth, Patrick J. Flynn
2012 Handbook of Iris Recognition  
A recent survey of iris biometric research from its inception through 2007, roughly 15 years of research, lists approximately 180 publications.  ...  Research in iris biometrics has expanded so much that, although covering only three years and intentionally being selective about coverage, this new survey lists a larger number of references than the  ...  To search for a match to a new image, the algorithm computes the key for the new image, retrieves all irises with matching keys from the database, and compares iris templates from the retrieved set.  ... 
doi:10.1007/978-1-4471-4402-1_2 dblp:series/acvpr/BowyerHF13 fatcat:jrofnoks6bfcjetnoftvx64dou

Face Recognition Technology Based on Partial Facial Features

Winney Eva
2021 Science Insights  
In the past two decades, many face recognition methods have been proposed. Among them, most researchers use the entire face as the basis for recognition.  ...  This review intends to summarize the full face and partial face recognition methods based on key points of the face.  ...  Mainly study the facial features required for face recognition. The researchers realized a high-quality face grayscale model with a computer.  ... 
doi:10.15354/si.21.re068 fatcat:67tynhjd45bktpmh4meiy2ayum

GPU-Accelerated Human Detection Using Fast Directional Chamfer Matching

David Schreiber, Csaba Beleznai, Michael Rauter
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
The motion cue is obtained by employing a compressed non-parametric background model (GPU).  ...  the location and occlusion status of pedestrians viewed by a stationary camera.  ...  This is due to the increasing partial occlusion rate between the humans in the scene, where the shape matching fails to recover the correct human locations from partially visible contours.  ... 
doi:10.1109/cvprw.2013.93 dblp:conf/cvpr/SchreiberBR13 fatcat:to3azu2gpfh43ilyca7su6whua

Face Recognition and Skin Extraction under a Dynamic Video

Li-Hong Juang
2018 Robotics & Automation Engineering Journal  
a histogram matching algorithm value (Bhattacharyya Coefficient) for their similarity, meanwhile determine whether it is a fast-moving object.  ...  By using Face ++ interface for face and skin recognition experiment, after some tests, in the case of a good picture resolution, the recognition rate is about 70%; the skin color extraction is one kind  ...  China under the HuaQiao Scientific Research Foundation for Talents plan.  ... 
doi:10.19080/raej.2018.03.555602 fatcat:c3zsbtcbtbgphpjm3dv74uykm4

Masked Face Recognition Using Deep Learning: A Review

Ahmad Alzu'bi, Firas Albalas, Tawfik AL-Hadhrami, Lojin Bani Bani Younis, Amjad Bashayreh
2021 Electronics  
A large number of intelligent models for masked face recognition (MFR) has been recently presented and applied in various fields, such as masked face tracking for people safety or secure authentication  ...  Machine learning has made progress in MFR and has significantly facilitated the intelligent process of detecting and authenticating persons with occluded faces.  ...  Acknowledgments: The authors would like to thank Jordan University of Science and Technology for supporting this research work under grant No. 20210166.  ... 
doi:10.3390/electronics10212666 fatcat:4j3p2it4prd7tk7spurenne2uq

A Machine Learning Approach for Expression Detection in Healthcare Monitoring Systems

Muhammad Kashif, Ayyaz Hussain, Asim Munir, Abdul Basit Siddiqui, AaqifAfzaal Abbasi, Muhammad Aakif, Arif Jamal Malik, Fayez Eid Alazemi, Oh-Young Song
2021 Computers Materials & Continua  
A novel patch-based multiple local binary patterns (LBP) feature extraction technique is proposed for analyzing human behavior using facial expression recognition.  ...  Due to the lack of suitable methods, results are often compromised in an unconstrained environment because of pose, scale, occlusion and illumination variations in the image of the face of the patient.  ...  Facial expression recognition is a problem related to pattern recognition and computer vision, where a twodimensional image of the face is acquired to extract the features for classification.  ... 
doi:10.32604/cmc.2021.014782 fatcat:tykfomfyjzatvbeocdcz75pigq

Efficient descriptor for full and partial shape matching

Saliha Bouagar, Slimane Larabi
2014 Multimedia tools and applications  
To achieve the best matching, we propose a novel matching algorithm based on Dynamic Time Warping. The proposed method is evaluated in two cases: partial and full matching.  ...  In this paper we present a new approach for full and partial shape retrieval based on a shape descriptor invariant to geometric transformations, reflection and deformation.  ...  For each class, a part is submitted to the partial matching with the whole data set and the top ten similar shapes are retrieved.  ... 
doi:10.1007/s11042-014-2417-0 fatcat:2sn7chpeufcs3b5rihn35l556u


Neha Jain, Somya Rastogi
2019 Acta Informatica Malaysia  
This paper has the detailed study of the mechanism, the challenges and the tools to overcome those challenges with a concluding note that would ensure that with the advancements of the technologies, this  ...  Speech Recognition Systems now-a-days use many interdisciplinary technologies ranging from Pattern Recognition, Signal Processing, Natural Language Processing implementing to unified statistical framework  ...  ACKNOWLEDGEMENT This research paper has been equipped as a result of discussion among the faculty members of my college. The authors like to thank Dr.  ... 
doi:10.26480/aim.01.2019.01.03 fatcat:adjwcuwztbcovbh4mnlrf2cjpe

Local Feature Descriptor for Image Matching: A Survey

Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei, Li He
2019 IEEE Access  
Image registration is an important technique in many computer vision applications such as image fusion, image retrieval, object tracking, face recognition, change detection and so on.  ...  This paper mainly focuses on the variety of local feature descriptors including some theoretical research, mathematical models, and methods or algorithms along with their applications in the context of  ...  face recognition.  ... 
doi:10.1109/access.2018.2888856 fatcat:rshfx326izcfdgk5ed6umit7wi

Adaptive dictionary learning based on local configuration pattern for face recognition

Dongmei Wei, Tao Chen, Shuwei Li, Dongmei Jiang, Yuefeng Zhao, Tianping Li
2020 EURASIP Journal on Advances in Signal Processing  
The extensive experiments on representative face databases with variations of lighting, expression, pose, and occlusion demonstrate that the proposed approach is superior both in recognition time and in  ...  Sparse representation based on classification and collaborative representation based classification with regularized least square has been successfully used in face recognition.  ...  Ou et al. proposed an approach of face recognition with occlusion named structured sparse representation based classification [18] .  ... 
doi:10.1186/s13634-020-00676-5 fatcat:eigybzv2tjakbb4ralg4czi3um

View-based object recognition using saliency maps

Ali Shokoufandeh, Ivan Marsic, Sven J. Dickinson
1999 Image and Vision Computing  
To compare two saliency map graphs, we introduce two graph similarity algorithms. The first computes the topological similarity between two SMGs, providing a coarse-level matching of two graphs.  ...  This compact representation is highly invariant to translation, rotation (image and depth), and scaling, and offers the locality of representation required for occluded object recognition.  ...  Acknowledgements We gratefully acknowledge Columbia University's Shree Nayar for providing us with the database of model views.  ... 
doi:10.1016/s0262-8856(98)00124-3 fatcat:e2thtjp2fbf6hdbpfeuagep2wq
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