Science Current Events | Science News | Brightsurf.com
 
Email a Friend Send to a friend
Printer Friendly Print The Nose Knows: Two Fixation Points Needed for Face Recognition

The Nose Knows: Two Fixation Points Needed for Face Recognition

October 21, 2008

Many of us are bad at remembering names but we are very quick to point out that at least we never forget a face. Never mind recognizing a familiar face- how is it that we recognize faces at all? Facial recognition is so automatic that we do not think about how our brain actually perceives a face. Previous studies have indicated that during face recognition, we look most often at the eyes, nose and mouth. Now, a new study has pinpointed exactly where our eyes land when we see a face.

Cognitive Scientists Janet Hui-wen Hsiao and Garrison Cottrell from the Temporal Dynamics of Learning Center at the University of California, San Diego examined this by showing volunteers frontal-view images of faces, one at a time, and recording their eye movements with an eye tracker. By using the eye tracker, the researchers were able to measure fixation points when the faces were shown (i.e. where on the face the volunteers looked). In addition, the researchers limited the number of fixations that volunteers could make when looking at the faces to one, two, three or an unlimited number, by replacing the face with an average of all of the faces in the study when the number of fixations exceeded the limit. This is done while the eyes are "in flight" to the next fixation - when we are virtually blind until we land at the next spot.




The results, reported in the October issue of Psychological Science, a journal of the Association for Psychological Science, showed that during face recognition, the first two places we look at are around the nose, with the first fixation point being slightly to the left of the nose. This was surprising, as previous research has suggested that the eyes may be the critical point for face perception. In this study, it was not until the third fixation that participants looked at the eyes.

The researchers also found that two fixations are optimal for face recognition. Given the same amount of time to view each face, the volunteers performed better when they were allowed to make a second fixation than when they could look at only one fixation. The authors noted, "This suggests that the second fixation has functional significance: to obtain more information from a different location."

The authors conclude that the nose "may be the 'center of the information', where the information is balanced in all directions, or the optimal viewing position for face recognition."

Association for Psychological Science



Related Face Recognition Current Events and Face Recognition News Articles Face Recognition Current Events and Face Recognition News RSS Face Recognition Current Events and Face Recognition News RSS
BioVault locks up biometrics
A system that allows biometric data to be used to create a secret key for data encryption has been developed by researchers in South Africa.

Recognition at last
A rapid but superior method for computerized face recognition could revolutionize security systems especially if it can see through disguises.

'Super-recognizers,' with extraordinary face recognition ability, never forget a face
Some people say they never forget a face, a claim now bolstered by psychologists at Harvard University who've discovered a group they call "super-recognizers": those who can easily recognize someone they met in passing, even many years later.

New insight into how bees see
New research from Monash University bee researcher Adrian Dyer could lead to improved artificial intelligence systems and computer programs for facial recognition.

Are you phonagnosic?
The first known case of someone born without the ability to recognise voices has been reported in a paper by UCL (University College London) researchers, in a study of a rare condition known as phonagnosia. The UCL team are calling for other people to come forward if they think they have also grown up with the condition.

Child witnesses -- how to improve their performance
A study at the University of Leicester into how to improve child and young adult witnesses' evidence has looked at several issues that affect witnesses' accuracy.

Face recognition: nurture not nature
Reporting in the open-access journal PLoS ONE on August 20, researchers have discovered that our society can influence the way we recognise other people's faces.

Face facts: People don't stand out in crowds
Why is it difficult to pick out even a familiar face in a crowd? We all experience this, but the phenomenon has been poorly understood until now.

Twins study shows genetic basis for face and place recognition
New evidence suggests our brains are hardwired before birth to recognize faces and places. But in contrast, the neural circuitry we use to recognize words develops mainly as a result of experience.

Biometric sensors no dirtier than doorknobs, study finds
While biometric equipment is gaining popularity in a variety of applications, such as ensuring secure access to buildings, industries are finding that many users believe the devices are unsanitary and a potential source of germs that could cause illness.
More Face Recognition Current Events and Face Recognition News Articles
Reliable Face Recognition Methods: System Design, Implementation and Evaluation (International Series on Biometrics)

Reliable Face Recognition Methods: System Design, Implementation and Evaluation (International Series on Biometrics)
by Harry Wechsler (Author)

One of the grand challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing.

Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, and...

Face Processing: Advanced Modeling and Methods

Face Processing: Advanced Modeling and Methods
by Wenyi Zhao (Editor), Rama Chellappa (Editor)

Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume.

This book begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to...

Handbook of Face Recognition

Handbook of Face Recognition
by Stan Z. Li (Editor), Anil K. Jain (Editor)

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research...

Face Recognition: New Research

Face Recognition: New Research
by Katherine B. Leeland (Editor)

Face perception is the process by which the brain and mind understand and interpret the face, particularly the human face. The face is an important site for the identification of others and conveys significant social information. Probably because of the importance of its role in social interaction, psychological processes involved in face perception are known to be present from birth, to be complex, and to involve large and widely distributed areas in the brain. These parts of the brain can be damaged to cause a specific impairment in understanding faces known as prosopagnosia. This book presents the latest research in the field.

Feature Extraction in Face Recognition

Feature Extraction in Face Recognition
by David Masip (Author)



Toshiba Satellite A305-S6858 Core 2 Duo T5750 2.0GHz 4GB 320GB DVD±RW 15.4" Vista Home Premium (SP1, 64 Bit version) WiFi w/Webcam, face recognition software

Toshiba Satellite A305-S6858 Core 2 Duo T5750 2.0GHz 4GB 320GB DVD±RW 15.4" Vista Home Premium (SP1, 64 Bit version) WiFi w/Webcam, face recognition software
by Toshiba

Take your mobile computing to the next level with this Toshiba Satellite A305-S6858 notebook!Backed by Intel Centrino technology, this Satellite features a mighty Intel Core 2 Duo 2.0 GHz processor and 4 GB of RAM to power through any sized workload. The massive 320 GB hard drive provides ample storage space for all your applications, games, videos, photos, music, data files, and much more! Plus, it comes with Windows Vista Home Premium pre-installed.With the 5-in-1 Bridge Media Adapter you can easily access, transfer, edit and store your digital media. Create your own CDs and DVDs and burn professional labels directly onto the disk with the DVD RW DL drive with Labelflash technology. Whether you need the Internet for work or play, this Satellite has you covered with a 56k modem,...

eeBoo I Never Forget a Face Memory Game

eeBoo I Never Forget a Face Memory Game
by eeBoo

A wonderful way to develop an appreciation of multi-culturalism as well as enhancing memory skills. Includes 24 pairs of faces for matching.

fXGuard Windows Logon Computer Access Control with Face Recognition Technology

fXGuard Windows Logon Computer Access Control with Face Recognition Technology
by RCG

The latest face recognition software specially designed for computers. With FxGuard your face is the login ID and password o access your PC/Notebook. More secure than passwords that can be forgotten or stolen. Comes with free USB camera.

Automated Face Analysis: Emerging Technologies and Research (Premier Reference Source)

Automated Face Analysis: Emerging Technologies and Research (Premier Reference Source)
by Daijin Kim (Author), Jaewon Sung (Author)

Since research on face recognition began in the 1960's, the field has rapidly widened to automated face analysis including face detection, facial gesture recognition, and facial expression recognition.

Automated Face Analysis: Emerging Technologies and Research provides theoretical background to understand the overall configuration and challenging problem of automated face analysis systems, featuring a comprehensive review of recent research for the practical implementation of the analysis system. A must-read for practitioners and students in the field, this book provides understanding by systematically dividing the subject into several subproblems such as detection, modeling, and tracking of the face.

1000 Teacher Award, Recognition or Encouragement Stickers - Smiling Faces Super Value Collection

1000 Teacher Award, Recognition or Encouragement Stickers - Smiling Faces Super Value Collection
by Amazing Products, Inc.



© 2009 BrightSurf.com