Facial Recognition

Facial Profiles - An abstract on convex, concave and planar facial types

by Pleasant P V

Faces come in different forms and are often classified according to their shape and profile which
represent the... more Faces come in different forms and are often classified according to their shape and profile which
represent the front and side views respectively. In this article I would like to introduce the three most
popular categories of facial profiles viz convex, concave and planar. These profiles are used to judge
aesthetics of appearance and analysis of characteristic traits of a subject by face reading professionals.
There are two medical techniques called cephalometry and craniometry which deal with measurement
of human head and facial features. Please note that this is just an abstract and not a research paper. I
have included the facts that I read and understood. The sources are quoted at the end of the text for your
reference.

Facial Recognition in Static Images Using the Haar Wavelet Transform

by Joe Gonzalez

The topic of facial recognition has become an intensely investigated field both in the consumer industry as well as... more The topic of facial recognition has become an intensely investigated field both in the consumer industry as well as the research industry.  Various facial recognition algorithms have been developed mainly making use of eigenfaces as well as principal component analysis and other similar linear algebraic methods.  In this paper, we explore the wavelets approach to this exceedingly difficult and important topic.  In particular, we chose the Haar wavelet due to its inexpensive computational needs, as well as robustness.  Fast computational times were further achieved due to developing our algorithm in MatLab.

Facial Recognition in Static Images Using the Haar Wavelet Transform

by Joe Gonzalez

The topic of facial recognition has become an intensely investigated field both in the consumer industry as well as... more The topic of facial recognition has become an intensely investigated field both in the consumer industry as well as the research industry.  Various facial recognition algorithms have been developed mainly making use of eigenfaces as well as principal component analysis and other similar linear algebraic methods.  In this paper, we explore the wavelets approach to this exceedingly difficult and important topic.  In particular, we chose the Haar wavelet due to its inexpensive computational needs, as well as robustness.  Fast computational times were further achieved due to developing our algorithm in MatLab.

Gaspar, A & Esteves, F (in press). Preschoolers faces in spontaneous emotional contexts – how well do they match adult facial expression prototypes? International Journal of Behavioral Development

by Augusta Gaspar

Gaspar, A & Esteves, F (2011). Empathic Cross-Paths: SCR and EMG Responses to Emotion in Ape and Human Faces. Does Species Matter? Psychophysiology (48), Special Issue Supplement, s1–s131, (abstract)

by Augusta Gaspar

On the systematic social role of expressed emotions: An embodied perspective

by Nicolas Vermeulen

Reduced capacity in automatic processing of facial expression in restrictive anorexia nervosa and obesity

by Nicolas Vermeulen

Alexithymia and levels of processing: Evidence for an overall deficit in remembering emotion words

by Nicolas Vermeulen

Categorical perception of anger is disrupted in alexithymia: Evidence from a visual ERP study

by Nicolas Vermeulen

Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation

by Nicolas Vermeulen

Dyadic Interaction Assistant For Tracking Head Gestures and Facial Expressions (ISEF Version)

by Varun Ramesh

Co-authored with Shantanu Bala, Supervised by Sreekar Krishna and Dr. Panchanathan at the Cognitive Center for Ubiquitous Computing.

When humans interact with each other, they utilize multiple different channels of communication, including verbal... more When humans interact with each other, they utilize multiple different channels of communication, including verbal communication, facial expressions, and gestures. Approximately 46% of the information delivered in interpersonal communication is solely visual, leaving people with visual impairments at a great disadvantage in social environments, often leading to isolation. The goal of this project is to create a novel assistive device - the Social Interaction Assistant - that can provide people with visual impairments the ability to access visual social cues such as the emotions of the people they are conversing with. The Social Interaction Assistant automatically recognizes different facial indicators of a person’s emotional state and conveys such information discretely and accurately in real-time using haptic (vibration) feedback. The Social Interaction Assistant consists of a camera paired with face detection technology to automatically pan and tilt to track faces and keep them within its field of vision. The video stream from the camera is analyzed in real-time to detect features of the faces such as the curvature of the eyebrows and mouth, in order to determine the emotional state of a subjects face. For this project, a haptic glove was created from scratch (dubbed the VibroGlove). A microcontroller allows the software to vibrate the glove in various patterns corresponding to different visual cues. The device accurately detects and tracks faces with close to 95% accuracy under certain lighting, and can accurately detect various facial features such as the state of the eyebrows and mouth. The software runs at approximately 10 frames per second - enough for what is required for a conversation.

Seminal Ethics

by Mark Singer

Tandem works include: "Kant Concept Art," "More Seminal Ethics Implications," "Addendum - More Seminal Ethics Implications" - also on this site.

Additional implications include: moral, epistemology, love, happiness, time and space, psychological, art, education, medical, economic, war, capital punishment, abortion, and possibility.

Variations in EEG coherence as an index of the affective content of dreams from REM sleep: Relationships with face imagery (1999)

by Tore Nielsen

The affect of tissue depth variation on craniofacial reconstructions

by John Starbuck

We examined the affect of tissue depth variation on the reconstruction of facial form, through the application of the... more We examined the affect of tissue depth variation on the reconstruction of facial form, through the application of the American method, utilizing published tissue depth measurements for emaciated, normal, and obese faces. In this preliminary study, three reconstructions were created on reproductions of the same skull for each set of tissue depth measurements. The resulting morphological variation was measured quantitatively using the anthropometric craniofacial variability index (CVI). This method employs 16 standard craniofacial anthropometric measurements and the results reflect ‘‘pattern variation’’ or facial harmony. We report no appreciable variation in the quantitative measure of the pattern facial form obtained from the three different sets of tissue depths. Facial similarity was assessed qualitatively utilizing surveys of photographs of the three reconstructions. Surveys indicated that subjects frequently perceived the reconstructions as representing different individuals. This disagreement indicates that size of the face may blind observers to similarities in facial form. This research is significant because it illustrates the confounding effect that normal human variation contributes in the successful recognition of individuals from a representational three-dimensional facial reconstruction. Research results suggest that successful identification could be increased if multiple reconstructions were created which reflect a wide range of possible outcomes for facial form. The creation of multiple facial images, from a single skull, will be facilitated as computerized versions of facial reconstruction are further developed and refined.

Picturing algorithmic surveillance: The politics of facial recognition systems

by David Murakami Wood

Introna, L. and D. Wood (2004) ‘‘Picturing Algorithmic Surveillance: The Politics of Facial Recognition Systems’, Surveillance & Society, 2(2/3): 177-198.

Structure of the Skull of Mozart Related to Facial Features

by Pierre-François Puech

This paper co-authored by Pierre-Francois Puech and Bernard Puech, focus on how available forensic methodology deals... more This paper co-authored by Pierre-Francois Puech and Bernard Puech, focus on how available forensic methodology deals with a specific case.
Today the IAFS is a large professional society -in the United States the sanction of this organization is extremely important. Acting on the request of the Mozarteum, a team of scientists analysed the skull held by the museum and confirmed its identity: first in the 1987 Can. Soc. Forensic. Sci. J. 20 pp. 176-177 and with details at the 1993 IAFS congress held at Düsseldorf. Publication in German translated in English.

The enigma of facial asymmetry: Is there a gender-specific pattern of facedness?

by Scott Hardie

The valence-specific laterality effect in free viewing conditions: The influence of sex, handedness, and response bias

by Scott Hardie

Simulation Is Not Enough: A Hybrid Model of Disgust Attribution on the Basis of Visual Stimuli

by Luca Barlassina

Philosophical Psychology (forthcoming), DOI: 10.1080/09515089.2012.659167

Mindreading is the ability to attribute mental states to other individuals. According to the Theory-Theory (TT),... more Mindreading is the ability to attribute mental states to other individuals. According to the Theory-Theory (TT), mindreading is based on one’s possession of a Theory of Mind. On the other hand, the Simulation Theory (ST) maintains that one arrives at the attribution of a mental state by simulating it in one’s own mind. In this paper, I propose a ST-TT hybrid model of the ability to attribute disgust on the basis of visual stimuli such as facial expressions, body postures, etc. More precisely, while I defend Goldman’s (2006) thesis that the ability to attribute disgust based on observing disgusted facial expressions stems from a mirror-based simulation process, I argue that ST is unable to account for the ability to attribute disgust based on non-facial visual stimuli; I propose, rather, that this latter ability is theory-based. My model is grounded in evidence from individuals suffering from Huntington’s Disease.