Face recognition

Hi class, You already mentioned some very interesting examples of where face recognition could be used or already is in use. Authentication is needed more and more in a digitalized world. At first, I thought face recognition could be useful for unlocking phones or open door locks, for example. But I came to notice that there are situations in which this face recognition could actually be disturbing or even dangerous. Imagine a person having an accident and somebody tries to call for help using the

Abstract—Automatic recognition of people is a challenging problem which has received much attention during recent years due to its many applications in different fields. Face recognition is one of those challenging problems and up to date, there is no technique that provides a robust solution to all situations. This paper presents a technique for human face recognition. A self-organizing program is used to identify if the subject in the input image is “present” or “not present” in the image database. Face recognition

The ability of humans to recognise and remember faces is remarkable. Interestingly, there seem to be many factors that influence the performance of facial recognition, such as age, gender, race and even particular social or cultural groups that people belong to. This experiment explores whether there is gender bias in face recognition. Own-gender bias in facial recognition is the tendency to recognise individuals from one’s own gender better than individuals from the other gender (Herlitz & Lovén

Seminar Report on ‘Age-invariant Face Recognition’ Submitted by:- Namit Ohri (12213010) Submitted to:- Dr. Pyari Mohan Pradhan DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING INDIAN INSTITUTE OF TECHNOLOGY ROORKEE - 247667 Abstract A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the challenges in face recognition is to come up with a matching

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes.

Mobile Cloud Computing Face Recognition Sahil Palvia (sap8231) Fall, 2014 Advisor: Dr. Minsoek Kwon Rochester Institute of Technology Department of Computer Science   Table of Contents Introduction 3 Background 4 Proposed Solution 5 Design and Implementation 6 Results 12 Conclusions 19 Future Work 20 References 21   Introduction Every person today uses an Internet-enabled mobile device. Majority of the applications running on mobile devices transfer their data to cloud servers for processing

FACE RECOGNITION IN JAVA ENVIRONMENT ABSTRACT: In today’s world, face recognition has its application in many fields incorporating:Automotive sector, image enhancing, robotics, gaming & manufacturing. It is an exciting field with hurdles. Such as limited hardware, poor visualisation or quality & connectivity. This paper demonstrates a face recognition system in JAVA environment. The aim is to have high recognition rate. Key words:Face recognition, Open CV, JAVA environment. I. Introduction:Image

TITLE: Web Application based on Facial Recognition System Anand Singh, Erarica Mehra, Saundarya Dorle Anand Singh, Computer Department,DYPIEMR,thakuranand818@gmail.com Erarica Mehra, Computer Department,DYPIEMR,irarikamehra@gmail.com Saundarya Dorle, Computer Department,DYPIEMR,saundaryadorle@gmail.com ABSTRACT Police organizations depend a lot on gathering and sharing information. They are law enforcement bodies that focus on prevention of crime. They patrol the areas, respond to calls, investigate

Abstract— In this paper we implement the Human Face Action Recognition System in Wireless Sensor Network. Detecting movements of human is one of the key applications of wireless sensor networks. Existing technique is detecting movements of a target using face tracking in wireless sensor network work efficiently but here we implementing face action recognition system by using image processing and algorithms with sensors nodes. Using

FACE RECOOGNITION This essay will talk about face recognition and several reasons why it has been studied separately. The ability to recognise faces is of huge significance of people’s daily life and differs in important ways from other forms of object recognition (Bruce and Young, 1986). Than this essay will talk about the processes involved in face recognition which comes from the diversity of research about familiar and unfamiliar faces-it includes behavioural studies, studies on brain-damaged