face recognition using near infrared images

... where his/her face locates at, and who he/she is Towards this goal, generally separate the face recognition procedure into three steps [2]: Face Detection, Features Extraction and Face Recognition ... FIGURES Figure 1.1 Face recognition process 2 Figure 1.2 The general scheme of face recognition on an input image 3 Figure 1.3 Selfie pay app of MasterCard 4 Figure 1.4 FaceTech is applied ... based on face recognition using Machine Learning involved on NVIDIA Jetson Nano Developer Kit and C270 Logitech Webcam - Understanding and applying algorithms for Face Detection and Face Verification

Ngày tải lên: 26/07/2020, 18:36

... CÁC PHƯƠNG PHÁP NHẬN DẠNG MẶT NGƯỜINhận dạng mặt con người(Human Face Recognition: Perceptual and Cognitive Aspects) Nghiên cứu trong lĩnh vực khoa học thần kinh tập ... thời áp dụng những kiến thức thực tiễn một cách hợp lý. 1.2 Nhận dạng mặt tự động (Automatic Face Recognition) Mặc dù con người dễ dàng nhận diện khuôn mặt, nhưng quá trình này diễn ra nhờ những ... nhận dạng khuôn mặt xác nhận danh tính từ cơ sở dữ liệu cá nhân đã biết Các phương pháp như Eigenfaces, mô hình ẩn Markov, mạng nơ-ron và phân tích đặc trưng đã được giới thiệu trong chương 1 Hiện

Ngày tải lên: 29/08/2021, 17:36

... Raman, and infrared spectroscopy.Figure 2.1 IR spectroscopy regions (Mani, Mani & Pro, 2020) Infrared (IR) spectroscopy is categorized into three sub-regions based on wavelength: Near Infrared ... operates by transmitting light from a source through a filter that separates it into near-infrared wavelengths This near-infrared light is directed onto the product being measured, as illustrated in ... and eliminating their spectral interference when processing data.Near-Infrared (NIR) spectroscopy stands out in the realm of infrared spectroscopy due to its sensitivity to food component absorption,

Ngày tải lên: 13/10/2022, 08:27

... from light source is transmitted through the filter which separates light into near-infrared wavelengths Near-infrared light is then directed onto the product measured at the lamp part as shown ... UV-Vis, nuclear magnetic resonance, Raman and infrared Figure 2.1 IR spectroscopy regions (Mani, Mani & Pro, 2020) Infrared (IR) spectroscopy, divided into near, mid, and far regions based on wavelength, ... linear classification tool using the application of Partial Least Square (PLS) Regression Algorithm The main technique behind is to find the optimal number of Latent variables (LVs), the linear

Ngày tải lên: 31/07/2024, 10:01

... employees' faces that need to be added to the database The system will perform face detection and recognition, if needed If the employee’s ‘face’ was not added to the database, images of their ‘faces’ ... functions such as face detection, facial recognition, timekeeping and unlocking the door Figure 1 The block diagram of the system Class of Face Detection Determination of face images is an interesting ... This study aims to develop a timekeeping system by face recognition using Adaboost algorithm The main objective of the project is to develop a face recognition timekeeping system that can be used

Ngày tải lên: 08/03/2021, 17:13

... employees' faces that need to be added to the database The system will perform face detection and recognition, if needed If the employee’s ‘face’ was not added to the database, images of their ‘faces’ ... functions such as face detection, facial recognition, timekeeping and unlocking the door Figure 1 The block diagram of the system Class of Face Detection Determination of face images is an interesting ... This study aims to develop a timekeeping system by face recognition using Adaboost algorithm The main objective of the project is to develop a face recognition timekeeping system that can be used

Ngày tải lên: 24/03/2021, 18:48

... employees' faces that need to be added to the database The system will perform face detection and recognition, if needed If the employee’s ‘face’ was not added to the database, images of their ‘faces’ ... functions such as face detection, facial recognition, timekeeping and unlocking the door Figure 1 The block diagram of the system Class of Face Detection Determination of face images is an interesting ... This study aims to develop a timekeeping system by face recognition using Adaboost algorithm The main objective of the project is to develop a face recognition timekeeping system that can be used

Ngày tải lên: 15/06/2021, 11:04

... magnitude responses Figure 7 Face recognition performances using Gabor with original gray-level face images and gradient magnitude faces. Figure 8 Original sample faces from the GT dataset. Trang ... techniques are used on gray-scale images However, in recent times, most face images that are acquired and are available for face recognition task are color images Studies have shown that illumination ... performance of edge-based face recognition systems is desired 1.1 Related works Face recognition performance in plastic surgery scenarios for cases such as rhytidectomy (face and mid-face lift), rhinoplasty

Ngày tải lên: 02/11/2022, 10:44

... COMPARE EXISTING PAYMENT METHODS AT SUPERMARKETS AND CONVENIENCE STORES WITH GLANCE - PAY WITH FACE RECOGNITION: 16 6 BUSINESS MODEL CANVAS: 19 7 ESTIMATED REVENUE STREAM AND COST STRUCTURE: 21 ... income economies (excluding China), over 40% of adults who made merchant in-store or online payments using a card, phone, or the internet did so for the first time since the start of the pandemic The ... electronic method (eKYC) Out of a total of 1.1 million customers registered to use Mobile Money service, nearly 660,000 customers are rural, mountainous, remote, border and island customers As of April,

Ngày tải lên: 12/12/2023, 14:54

... for Face Recognition 182.1 Deep Learning Based Face Recognition for Attendance Systems 18 Trang 52.2 Utilizing InsightFace for Face Recognition 192.3 Advantages and Limitations of InsightFace ... METHODOLOGYCHAPTER 1: APPLYING THE REAL-TIME FACE RECOGNITION MODEL TO THE ATTENDANCE SYSTEM 1 Face Recognition Basics 1.1 Understanding Face Recognition Face recognition is a method of biometric identification ... learning models have been widely used for face recognition These include models like VGG-Face, FaceNet, OpenFace, DeepFace, DeepID ArcFace, Dlib, and InsightFace, which were mentioned in Chapter

Ngày tải lên: 08/10/2024, 02:13

... facial images for both development and testing of face-recognition algorithms and has become the de facto standard for face recognition from still images (Phillips et al 1998, 2000) The images ... This recognition technique is called a nearest-neighbor classifier—~a probe is identified as the person in the gallery image nearest the probe in face space 2.2 System modules Our face-recognition ... paper, we present a generic modular PCA-based face-recognition system Our PCA-based face-recognition system consists of normalization, PCA projection, and recognition modules, Each module consists

Ngày tải lên: 21/02/2014, 21:56

... visual event recognition in a number of works In [4], Rota et al presented an ele-gant treatment for representing activities using declarative models Recognition was performed effectively using a ... true using the CWA until all possible ways of deducing a have been tried. Trang 9Context-dependent Preconditions Consider the predicate nearBy(P, loc, t)in the formula happenAt(E, loc, t)∧nearBy(P, ... (e.g [3]), or DBNs ([2]), events are represented with probabilistic models Event recognition is usually performed using maximum likelihood estimation given observation sequences While these approaches

Ngày tải lên: 23/03/2014, 13:20

... 7 2. Related work 2.1Human body parts recognition using Microsoft Kinect The approach of using RGB images or video for human detection and recognition faces challenging problems due to variation ... significant recognition advantage other than depth and color information. Therefore, instead of directly doing human parts recognition using depth and color images, we do skeleton recognition ... focusedrecently[22] [10][9][24]. Depth images have several advantages over 2D intensity images: range images are robust to the change in color and illumination; range images are simple representations

Ngày tải lên: 12/04/2014, 15:40

... in Face Recognition, Dr. Mario I. Chacon M. Preface Notwithstanding the tremendous effort to solve the face recognition problem, it is not possible yet to design a face recognition ... aspects on face recognition. Chapter 1 describes the achievement and perspective trends related to nearest feature classification for face recognition. The authors explain the family of nearest ... correlation engine for face, image and video data using optical correlation, and an online face recognition system based on phase information. The first 3D technique for face recognition is covered

Ngày tải lên: 28/04/2014, 09:59

... are two: face-like and no face-like region. A set of normalized faces and no faces images were selected to train the classifier. Images were collected from three sources. 1) 54 face images ... normalized faces could be face images, positions of the faces in the original images, an ARFF dataset [2] or some other custom format. References [3] [5] describe the main problems in face detection. ... 2. Constant ratio faces: The faces must be natural faces, around the correct proportions of an average face. 3. Pose: There are face localization techniques to find a rotated face in an image,

Ngày tải lên: 28/04/2014, 10:06

... developments in face recognition techniques using still images. In Section 4 face recognition techniques based on video are reviewed. Data collection and perfor- mance evaluation of face recognition ... identity familiar faces. In [Hill and Bruce 1996], the importance of top lighting for face recognition was demon- strated using a different task: match- ing surface images of faces to determine ... 2003. Face Recognition: A Literature Survey 405 the more attractive the faces are, the better is their recognition rate; the least attractive faces come next, followed by the midrange faces,

Ngày tải lên: 02/06/2014, 09:39

... Keywords: wireless functional near-infrared spectroscopy (fNIRS), motor imagery, motor execution, single-trial clas-sification, linear discriminant analysis, brain computer interface (BCI) 1 Introduction ... task using their right thumb or a complex sequential finger-tapping task using all fingers of their right hand fNIRS was recorded over secondary motor areas of the contralateral hemisphere Using ... differing in task complexity: a functional near-infrared spectroscopy study Lisa Holper1,2*and Martin Wolf1 Abstract Background: For brain computer interfaces (BCIs), which may be valuable in neurorehabilitation,

Ngày tải lên: 19/06/2014, 08:20

... Relationship between oxygen supply and cerebral blood flow assessed by transcranial Doppler and near – infrared spectroscopy in healthy subjects during breath – holding Filippo Molinari*1, William ... ultrasonography (TCD) is used to measure cerebral blood flow velocity (CBFV) during BH, whereas near-infrared spectroscopy (NIRS) measures the concentrations of the oxygenated (O2Hb) and reduced ... it is impossible to perform a TCD examination due to poor skull acoustic windows By means of near – infrared spectroscopy (NIRS) it is pos-sible to continuously monitor the local concentrations

Ngày tải lên: 19/06/2014, 10:20

... the phoneme recognitionusing the trained HMM/GMM model 3 The variance of the noise is updated when the non-speech detected, a priori and a posterior of each frame are then calculated using the ... can improve the performance of speech recognition in noisy systems For example, there is a growing interest in developing useful systemsfor automatic speech recognition (ASR) in different noisy ... Finally, the non-speech segments are distinguished from thespeech segments by the phoneme recognition using the trained HMM/GMM hybrid model Note that, in this article, the typical noise estimation

Ngày tải lên: 20/06/2014, 20:20

... of face recognition (Springer, Heidelberg, 2005), pp 247–275 P Viola, M Jones, Robust real-time face detection Int J Comput Vision 57(2), 137–154 (2004) MA Turk, AP Pentland, Face recognition using ... vs fisherfaces: recognition using class specific linear projection IEEE Trans Pattern Anal Mach Intell 19(7), 711–720 (1997) CC Lee, SS Huang, CY Shih, Facial affect recognition using regularized ... selection for face recognition EURASIP J Adv Signal Process 2006, 11 pp (2006) T Ahonen, A Hadid, M Pietikäinen, Face description with local binary patterns: Application to face recognition IEEE

Ngày tải lên: 20/06/2014, 20:20