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Human Recognition Using Face in Computed Tomography | DeepAI
Human Recognition Using Face in Computed Tomography. ... we focus on the face area in CT, which occupies the majority of CT images, especially in head and neck CT. ... Finally, we leverage transfer learning to adapt a pretrained face recognition model from face depth images in the RGB-D domain to the computed face depth images from CTs....
 wjert, 2018, Vol. 4, Issue 4, 160-167. Original Article ...
alogrithm for one-sample face recognition using HMM Model of fiducial areas. It used 2D Discrete Wavelet Transform to extract features from images and Hidden Markov Model was used for training, recognition and classification. 90% recognition accuracy was recorded when tested on a subset of AT&T face database. Adedeji et.
Automatic local Gabor features extraction for face recognition
Automatic local Gabor features extraction for face recognition Yousra BEN JEMAA ... Face recognition is a very challenging area in computer vision ... include hidden Markov model (HMM) [19], elastic bunch graph matching algorithm [3] and local feature analysis.
Face recognition from a single image per person: A survey ...
1. Introduction. As one of the few biometric methods that possess the merits of both high accuracy and low intrusiveness, face recognition technology (FRT) has a variety of potential applications in information security, law enforcement and surveillance, smart cards, access control, among others , , .For this reason, FRT has received significantly increased attention from both the academic and ...
Automatic Attendance System for University Student Using ...
Fig. 1. Process in face recognition. The first step taken in face recognition is face detection. As explained above, face detection is the process of which computer searching for a face-like object in an input image. Face detection’s objective is to determine the existence of a face in the image. If the face exists, the output will be the...
3D Facial Action Units Recognition for Emotional Expression
3D Facial Action Units Recognition for Emotional Expression Norhaida Hussain1, Hamimah Ujir, Irwandi Hipiny and Jacey-Lynn Minoi2 1Department of Information Technology and Communication, Politeknik Kuching, Sarawak, Malaysia 2Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia The muscular activities caused the activation of ...
Face Recognition - imagefeatures.org
automatic face recognition across three main areas of interest: biometrics, cognitive models and ... K. & Flynn, P. (2003). Face Recognition Using 2D and 3D Facial Data, Proceedings of the ACM Workshop on Multimodal User Authentication, pp. 25-32, December 2003. ... different face models to achieve face recognition....
- Advanced Source Code . Com - Face Identification System
Image recognition, and particularly face recognition, is becoming an increasingly popular feature in a variety of applications. Face recognition applications can be used by security agencies, law enforcement agencies, the airline industry, the border patrol, the banking and securities industries and the like.
Face Recognition from Still Images to Video Sequences: A ...
Although automatic faces recognition has shown success for high-quality images under controlled conditions, for video-based recognition it is hard to attain similar levels of performance. We describe in this paper recent advances in a project being undertaken to trial and develop advanced surveillance systems for public safety. In this paper, we propose a local facial feature based framework ...
FACE PROFILE RECOGNITION AND IDENTIFICATION
proposed for automatic person identification using face profile images. The commonly used methods for face profile recognition include: Scale space filtering [1], Morphological transform [2, 3], Dynamic time warping [4], Attributed string [5], and Hidden Markov model [6, 7].
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