Título
Facial Geometry Identification through Fuzzy Patterns with RGBD Sensor
Autor
VICTOR FERNANDEZ CERVANTES
ARTURO GARCIA ROMERO
Marco Antonio Ramos Corchado
ANDRES MENDEZ VAZQUEZ
Nivel de Acceso
true
Acceso Abierto
Materias
Computación - ([Computación y Sistemas (México) Num.3 Vol.19]) Kinect - ([Computación y Sistemas (México) Num.3 Vol.19]) RGBD - ([Computación y Sistemas (México) Num.3 Vol.19]) fuzzy logic - ([Computación y Sistemas (México) Num.3 Vol.19]) face detection - ([Computación y Sistemas (México) Num.3 Vol.19]) face segmentation - ([Computación y Sistemas (México) Num.3 Vol.19]) INGENIERÍA Y TECNOLOGÍA - (CTI)
Resumen o descripción
Automatic human facial recognition is an important and complicated task; it is necessary to design algorithms capable of recognizing the constant patterns in the face and to use computing resources efficiently. In this paper we present a novel algorithm to recognize the human face in real time; the systems input is the depth and color data from the Microsoft KinectTM device. The algorithm recognizes patterns/shapes on the point cloud topography. The template of the face is based in facial geometry; the forensic theory classifies the human face with respect to constant patterns: cephalometric points, lines, and areas of the face. The topography, relative position, and symmetry are directly related to the craniometric points. The similarity between a point cloud cluster and a pattern description is measured by a fuzzy pattern theory algorithm. The face identification is composed by two phases: the first phase calculates the face pattern hypothesis of the facial points, configures each point shape, the related location in the areas, and lines of the face. Then, in the second phase, the algorithm performs a search on these face point configurations.
Editor
Instituto Politécnico Nacional
Fecha de publicación
2015
Tipo de publicación
Artículo
Recurso de información
Formato
application/application/pdf
Fuente
Computación y Sistemas (México) Num.3 Vol.19
Idioma
Inglés
Relación
http://www.redalyc.org/revista.oa?id=615
Audiencia
Estudiantes
Investigadores
Repositorio Orígen
REPOSITORIO INSTITUCIONAL DE LA UAEM
Descargas
0