'Face image' diaporamas de présentation

Introduction to Face Recognition and Detection

Introduction to Face Recognition and Detection. Outline. Face recognition Face recognition processing Analysis in face subspaces Technical challenges Technical solutions Face detection Appearance-based and learning based approaches Neural networks methods AdaBoost-based methods

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Introduction to Face Recognition and Detection

Introduction to Face Recognition and Detection. Outline. Face recognition Face recognition processing Analysis in face subspaces Technical challenges Technical solutions Face detection Appearance-based and learning based approaches Neural networks methods AdaBoost-based methods

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3D Models for Face Image and Video Processing

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Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces

Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces. Author : Erno Makinen and Roope Raisamo. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 3, March 2008 Page(s):541- 547. Speaker: Po-Kai Shen Advisor: Tsai-Rong Chang

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The Analysis of Faces in Brains and Machines

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Automatic Analysis of Facial Expressions: The State of the Art By Maja Pantic, Leon Rothkrantz

Automatic Analysis of Facial Expressions: The State of the Art By Maja Pantic, Leon Rothkrantz. Presentation Outline. Motivation Desired functionality and evaluation criteria Face Detection Expression data extraction Classification Conclusions and future research. Motivation. HCI

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Face Recognition

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Face Recognition

Characteristics of FR: A mode of biometric identification Easy for human, hard for machine. Face Recognition. Image database:. Test image:. A:. B:. Who is this guy?. C:. D:. E:. F:. G:. Biometric Identification. Identification of people from their physical characteristics, such as

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Eigenfaces for Recognition By: Matthew Turk and Alex Pentland 1991 IEEE

Presented by: Shane Brennan 5/02/2005. Eigenfaces for Recognition By: Matthew Turk and Alex Pentland 1991 IEEE. Defining Characteristics. A holistic based method, meaning it uses the whole face region in the recognition system.

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BIOMETRICS

BIOMETRICS. Bhavin Shah CIS 203 12/04/2003. VICTIMS. What is Biometrics. Measurable physiological and/or behavioral characteristics that can be utilized to verify the identity of an individual

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Epitome

Spring 2004, CS7636 Computational Perception. Epitome. Ji Soo Yi and Woo Young Kim Instructor: Prof. James Rehg April 27, 2004. CONTENTS. Introduction Epitomic Image Experiment Results & Conclusion Future direction. Edited by Woo Young and Ji Soo. Introduction(1).

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A Literature Review of Image-based Face Recognition

A Literature Review of Image-based Face Recognition. Quan Ju PhD student Department of Computer Science The University of York. Background Introduction. What is Face Recognition? Face Recognition is a popular application of computer vision in recent years.

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Biometrics Authentication Technology

Biometrics Authentication Technology. Three main types of authentication available today are:. Something you know, like a password, PIN, or code. Something you have, like a swipe card, smart card, token, or key. Something you are, which is biometrics. What is a biometric?.

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A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model

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Privacy-Preserving Face Recognition

Privacy-Preserving Face Recognition. Zekeriya Erkin1, Martin Franz2, Jorge Guajardo3, Stefan Katzenbeisser2, Inald Lagendijk1, and Tomas Toft4. Introduction. Alice. ?. Bob. Run face recognition to determine whether the face image is in database. Owns a face image

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Group members: Keren Tan Weiming Chen Rong Yang

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Eigenfaces for Recognition

Eigenfaces for Recognition. Presented by: Santosh Bhusal. Efficient, simple and accurate system for face recognition Constrained environment: such as household, office etc. 2D model Classification performed using linear combination of characteristic features: eigenfaces. Introduction.

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Preprocessing Images for Facial Recognition

Preprocessing Images for Facial Recognition. Adam Schreiner ECE533. Solution. Problem. Face recognition systems have problems recognizing differences in lighting, pose, facial expressions, and picture quality.

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Biometric fingerprint time clock

Prior to the most widely used is without a doubt the face area recognition biometric fingerprint time clock, intelligent face recognition employee time, is visible all around the domestic high-end office buildings, once more raised the attendance times during the change, known to the planet because of its unique characteristics, price surpasses the iris recognition system to become much lower, a lot the favor of the enterprise, irreplaceable and no copy showed chasing gesture replace the the noble iris and fingerprint biometric fingerprint time clock great trends.

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