Showing papers by "Matthew Turk published in 1990"

Face recognition system

Abstract: A recognition system for identifying members of an audience, the system including an imaging system which generates an image of the audience; a selector module for selecting a portion of the generated image; a detection means which analyzes the selected image portion to determine whether an image of a person is present; and a recognition module responsive to the detection means for determining whether a detected image of a person identified by the detection means resembles one of a reference set of images of individuals.

Face Processing: Models For Recognition

Abstract: The human ability to process faces is remarkable. We can identify perhaps thousands offaces learned throughout our lifetime and read facial expression to understand such subtle qualities as emotion. These skills are quite robust, despite sometimes large changes in the visualstimulus due to expression, aging, and distractions such as glasses or changes in hairstyle or facialhair. Computers which model and recognize faces will be useful in a variety of applications,including criminal identification, human -computer interface, and animation. We discuss modelsfor representing faces and their applicability to the task of recognition, and present techniquesfor identifying faces and detecting eye blinks. 1 Introduction The human face, far beyond any other part of the body, communicates identity, emotion, race, andage, and also is quite useful in judging gender, size, and perhaps even character. The subject of visualprocessing of faces has received attention from philosophers and scientists for centuries. Aristotledevoted six chapters of the Historia Animalium to the study of facial appearance. Physiognomy,the practice or art of inferring intellectual or character qualities of a person from outward appear-ance, particularly the face, has had periods of fashion in various societies. Darwin considered facialexpression and its identification to be a significant advantage for the survival of species. Develop-mental studies have focused on strategies of recognition or identification and the differences betweeninfant and adult subjects. Neurological disorders of face perception have been isolated and studied,providing insight into normal as well as abnormal face processing. In recent years, computers havebeen introduced into various aspects of the subject, with systems attempting to model, display, andrecognize human faces.

Face Recognition without Features.

Abstract: We have developed a near-real-time computer system which can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals. Our approach treats the face recognition problem as an intrinsically twodimensional recognition problem, taking advantage of the fact that faces are are normally upright and thus may be described by a small set of 2-D characteristic views. The system functions by projecting face images onto a feature space that spans the significant variations among known face images. The significant features are known as "eigenfaces", because they are the eigenvectors (principal componmt,s) of the set of faces; they do not necessarily correspontl to features such as eyes, ears, and noses.