Filters








355,081 Hits in 5.8 sec

Real-time face recognition using feature combination

C. Nastar, M. Mitschke
Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition  
For real-time ability, we combine simple image features through a voting procedure for performing face recognition. ¡ From MIT Media Lab, Vision and Modeling group.  ...  We present an experimental setup for real-time face identification in a cluttered scene. Color images of people are recorded with a static camera.  ...  Conclusion We have presented a real-time face recognition system. The system is based on simple image feature computation and their combination using a simple voting procedure.  ... 
doi:10.1109/afgr.1998.670967 fatcat:tfni4jdtyfeebig5ppuq3g7xte

Motion and Geometric Feature Analysis for Real-time Automatic Micro-expression Recognition Systems

Adamu Muhammad Buhari, Chee-Pun Ooi, Vishnu Monn Baskaran, Wooi-Haw Tan
2021 F1000Research  
In this paper, two approaches for micro-expression feature extraction are analyzed for real-time automatic micro-expression recognition.  ...  Then, secondly, a low computational geometric-based feature extraction technique, a very popular method for facial expression recognition in real-time.  ...  . 33 e project contains the following extended data: • Real-time micro-expression recognition using biwoof features (executable setup for micro-expression recognition using motion-based features). • Real-time  ... 
doi:10.12688/f1000research.72970.1 fatcat:swlyj4bqpjfwnanj6r2tbunqly

IMPROVED REAL-TIME FACE RECOGNITION BASED ON THREE LEVEL WAVELET DECOMPOSITION-PRINCIPAL COMPONENT ANALYSIS AND MAHALANOBIS DISTANCE

Winarno
2014 Journal of Computer Science  
Recognition rate and computation time of real-time face recognition is one of the big challenges that must be developed.  ...  The development of research in the field of real-time face recognition is a study that is being developed in the last decade. Face recognition is used to identify person from an image or video.  ...  The big challenges that must be developed in face recognition field are recognition rate and computation time of real-time face recognition.  ... 
doi:10.3844/jcssp.2014.844.851 fatcat:gaqxtxkclzgpnlgnvlzflhch2y

Joint Identification Method Research of Access System Base on RFID and 3D Face Recognition

Faquan Yang, Qunying Shao, Zihong Cai
2019 IOP Conference Series: Earth and Environment  
The associative recognition method combined with radio frequency identification and 3D face recognition proposed in the paper, It can combine the advantages of stable radio frequency identification and  ...  In this paper, the main contents of radio frequency identification, 3D(threedimensional) face recognition, associative recognition algorithm based on radio frequency and 3D face recognition.  ...  as a real time image.  ... 
doi:10.1088/1755-1315/234/1/012099 fatcat:dokve5uezrcovn57v5jgfre2yq

A Novel Technique For Face Identification

DR. RUKSAR FATIMA
2016 Zenodo  
The system is built to meet real time face recognition criteria https://www.ijiert.org/paper-details?paper_id=140928  ...  We propose a new system here to align the face using Voila Jones Face detection method followed by Eigen face recognition technique.  ...  Eigen face recognition technique has been existent for long. In this work we have combined both of these techniques to propose a unique real time face recognition system.  ... 
doi:10.5281/zenodo.1462701 fatcat:gwhes6f4sfdhpl4a6n4gzlwqxy

Real Time Multimodal Emotion Recognition System using Facial Landmarks and Hand over Face Gestures

Mahesh Krishnananda Prabhu Prabhu, Dinesh Babu Jayagopi
2017 International Journal of Machine Learning and Computing  
In this paper we propose a method for building a Multimodal Emotion Recognition System (MERS), which combine mainly face cues and hand over face gestures which work in near real time with an average frame  ...  Although there are many state of the art emotion recognition systems using facial landmarks, we claim that our proposed system is one of the very few which also include hand over face gestures, which are  ...  Considering real time situation demand we used OVA.  ... 
doi:10.18178/ijmlc.2017.7.2.615 fatcat:umslkxkb2ze2pd27polo7copte

RESEARCH AND DEVELOPMENT OF DSP-BASED FACE RECOGNITION SYSTEM FOR ROBOTIC REHABILITATION NURSINGBEDS

Ashwini A. Patil .
2016 International Journal of Research in Engineering and Technology  
face recognition issue, having a in-depth study to face detection, Image preprocessing, feature extraction face facial structure, facial expression feature extraction, classification and other issues  ...  during face recognition, and have achieved research and development of DSP-based face recognition system for robotic rehabilitation nursing beds.  ...  The face image captured use Hu moments feature collection for automatic recognition and real-time tracking.  ... 
doi:10.15623/ijret.2016.0505060 fatcat:jsshamcwevbvpefjcwa2s2e6de

Face Recognition Attendance System Based on Real-time Video Processing

Hao Yang, Xiaofeng Han
2020 IEEE Access  
real-time video processing, the truancy rate of the face recognition attendance system with real-time video processing and the interface settings of the face recognition attendance system using real-time  ...  This article aims to design a face recognition attendance system based on real-time video processing.  ...  with real-time video processing; analysis of the skip rate of face recognition attendance system using real-time video processing; interface settings of face recognition attendance system using real-time  ... 
doi:10.1109/access.2020.3007205 fatcat:5lyhnvgwcndrrcllnnxrnhu3wy

High-Capacity Real-Time Face Retrieval Recognition Algorithm Based on Task Scheduling Model for the Treatment Area of Hospital

Yi Zhou, Weili Xia, Miaochao Chen
2021 Advances in Mathematical Physics  
The high-capacity real-time face recognition system for the treatment area of hospital combined with the optimized directed graph task scheduling model can approach 25 fps, which meets the real-time requirements  ...  a DeepID-like network model using central loss and use it to extract face features.  ...  high-capacity real-time face retrieval recognition inhospital visit sites.  ... 
doi:10.1155/2021/1547025 fatcat:2kzf7aobkveo3fuz3pydf27ohm

4D unconstrained real-time face recognition using a commodity depth camera

Florin Schimbinschi, Marco Wiering, Rajesh Elara Mohan, Jaichandar Kulandaidaasan Sheba
2012 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)  
Robust unconstrained real-time face recognition still remains a challenge today.  ...  Distances to a surface normal to the face are measured in real-time and used as input to a specific type of recurrent neural network, namely long short-term memory.  ...  A novel method for unconstrained real-time face recognition using commodity depth cameras has been proposed.  ... 
doi:10.1109/iciea.2012.6360717 fatcat:dtrbpikn3rdvbkfygskqkprjoq

Minimum AUs for Real-Time Facial Expression Recognition in Frame Sequence

Saghir Ahmed, Suresha M.
2016 International Journal of Computer Applications  
, face detection, segmentation, features extraction, encode AUs and finally classification.  ...  Many approaches and methodologies have been proposed in terms of face segmentation, facial features extraction, and emotion classification.  ...  [13] used a bank of Gabor filters for emotion recognition in a real-time streaming, where a set of Aus together defines an emotion.  ... 
doi:10.5120/ijca2016910630 fatcat:lfvrezuqwbaw5mux62ltqyf7ua

Emotion Recognition from Facial Expressions using Images with Pose, Illumination and Age Variation for Human-Computer/Robot Interaction

Suja Palaniswamy, Shikha Tripathi
2018 Journal of ICT Research and Applications  
For real-time implementation, Raspberry Pi II was used, which can be placed on a robot to recognize emotions in interactive real-time applications.  ...  The major contribution and strength of the proposed method lie in marking suitable feature points on the face, its speed and invariance to pose, illumination and age in real time.  ...  for real-time emotion recognition.  ... 
doi:10.5614/itbj.ict.res.appl.2018.12.1.2 fatcat:zihonyajnzfu5o567t4oqwcr34

Multi-Camera Face Recognition by Reliability-Based Selection

Binglong Xie, Terry Boult, Visvanathan Ramesh, Ying Zhu
2006 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety  
A reliability measure is trained using the features extracted from both face detection and recognition processes, to evaluate the inherent quality of channel recognition.  ...  In each channel, real-time component-based face detection detects the face with moderate pose and illumination changes with fusion of individual component detectors for eyes and mouth, and the normalized  ...  The real-time component-based face detection and recognition is just an example; the methodology is open to use other single-channel face detection/recognition technologies, only feature design needs to  ... 
doi:10.1109/cihsps.2006.313294 fatcat:rt5swqwdtbg2hird4qxxaqpbem

Research and Development of DSP-Based Face Recognition System for Robotic Rehabilitation Nursing Beds

Ming XING, Wushan CHENG
2016 International Journal of Computer Science & Engineering Survey  
face recognition issue, having a in-depth study to face detection, Image preprocessing, feature extraction face facial structure, facial expression feature extraction, classification and other issues  ...  during face recognition and have achieved research and development of DSP-based face recognition system for robotic rehabilitation nursing beds.  ...  The face image captured use Hu moments feature collection for automatic recognition and real-time tracking.  ... 
doi:10.5121/ijcses.2016.7204 fatcat:5mrnzeiwx5cnppka3l3ifm2iqu

Fast gender recognition by using a shared-integral-image approach

Bau-Cheng Shen, Chu-Song Chen, Hui-Huang Hsu
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
We develop a new approach for gender recognition. In this paper, our approach uses the rectangle feature vector (RFV) as a representation to identify humans' gender from their faces.  ...  The RFV is computationally fast and effective to encode intensity variations of local regions of human face. By only using few rectangle features learned by AdaBoost, we present a gender identifier.  ...  It is because that some of the rectangle features used for face detection are re-used for gender recognition.  ... 
doi:10.1109/icassp.2009.4959635 dblp:conf/icassp/ShenCH09 fatcat:wwytfgu2pzgrpar2uxj46y5cd4
« Previous Showing results 1 — 15 out of 355,081 results