PPT-Face Recognition

A Literature Survey By W Zhao R Chellappa PJ Phillips and A Rosenfeld Presented By Diego Velasquez Contents Introduction Why do we need face recognition Biometrics Face Recognition by Humans. The face image is divided into several regions from which the LBP feature distributions are extrac ted and concatenated into an enhanced feature vector to be used as a face descriptor Th e performance of the proposed method is assessed in the face r . Modelling. . and. . Recognition. . Survey. Timur Aksoy. Biometrics. . Course. . Fall. 2011. Sabanci. . University. Outline. Background. Approaches. Average. . Face. Model. Iterative. . Closest. Joseph Miller Michael Osborn Jaclyn . Duket. . Ohn’Jay. Walker. Undergraduate Research. Our thoughts about research in Human Computer Interaction-Design…. Very engaging and large field full of online interactions as well as user based studies that can be carried out. Face & Fingerprint Recognition Terminal. The demand for biometrics is slowly moving toward tighter security, by employing facial recognition for access control.. Convenient and easy to use. Promotes punctuality effortlessly . Joseph Miller Michael Osborn Jaclyn . Duket. . Ohn’Jay. Walker. Date. Description. Overview. 2/1/10-2/7/10. Week 1: Introduction to program, research. List several interesting topics. 2/8/10-2/14/10. Microsoft Corporate. ganghua@microsoft.com. Online Contextual Face Recognition: . Towards Large Scale Photo Tagging for Sharing. Photo sharing has become a main online social activity. FaceBook. receives 850 million photo uploads/month. Shengcai. Liao. NLPR, CASIA. April 29, 2015. Background. Cooperated face recognition. People are asked to stand in front of a camera with good illumination conditions. Border pass, access control, attendance, etc.. Image Understanding . Xuejin Chen. Face . Recogntion. Good websites. http://www.face-rec.org/. Eigenface. [. Turk & . Pentland. ]. Image Understanding, Xuejin Chen . Eigenface. Projecting a new image into the subspace spanned by the . Deep Learning for Expression Recognition in Image Sequences Daniel Natanael García Zapata Tutors: Dr. Sergio Escalera Dr. Gholamreza Anbarjafari April 27 2018 Introduction and Goals Introduction Dennis Hamester et al., “Face ExpressionRecognition with a 2-Channel ConvolutionalNeural Network”, International Joint Conference on Neural Networks (IJCNN), 2015. Original research by: Drs. Andrew . Lepp,. Aryn . Karpinski. , Jacob . B. arkley. College of Education, Health and Human Services. KSU. Introduction. According to a 2016 study: 5.8 million college students take all or some courses online; public institutions are the largest providers of online learning, 73% of online learners are undergraduates.. 16/03/2011. 1. Rui. Min. Multimedia Communications Dept.. EURECOM. Sophia . Antipolis. , France. min@eurecom.fr. Abdenour. . Hadid. . Machine Vision Group. University of Oulu. Oulu, Finland. hadid@ee.oulu.fi. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Face detection. Where are the faces? . Face Detection. What kind of features?. Linda Shapiro. ECE P 596. 1. What’s Coming. Review of . Bakic. flesh . d. etector. Fleck and Forsyth flesh . d. etector. Review of Rowley face . d. etector. Overview of. . Viola Jones face detector with .