Facial Geometry Identification through Fuzzy Patterns with RGBD Sensor

Authors

  • Víctor Fernández-Cervantes CINVESTAV - IPN
  • Arturo García CINVESTAV - IPN
  • Marco Antonio Ramos Universidad Autónoma del Estado de México
  • Andrés Méndez Cinvestav Guadalajara

DOI:

https://doi.org/10.13053/cys-19-3-2015

Keywords:

Kinect, RGBD, fuzzy logic, face detection, face segmentation

Abstract

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 system’s 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.

Author Biographies

Víctor Fernández-Cervantes, CINVESTAV - IPN

Received his Ph.D. from the Center for Research and Advanced Studies of the IPN (CINVESTAV), Guadalajara campus, in 2014. His research interests are serious games, fuzzy logic, pattern recognition, and rehabilitation.

Arturo García, CINVESTAV - IPN

Is a Ph.D. student in Computer Science. He received his M.Sc. from the Center for Research and Advanced Studies of the IPN (CINVESTAV), Guadalajara campus, in 2012. His research interests are fuzzy logic, image recognition, and optimization.

Marco Antonio Ramos, Universidad Autónoma del Estado de México

Received his Ph.D. from the University of Toulouse, France. He is a research professor of Artificial Intelligence and Virtual Reality at the Autonomous University of Mexico State. His research interests include animation techniques, artificial life, artificial intelligence, distributed system, and intelligent agents.

Andrés Méndez, Cinvestav Guadalajara

Received his Ph.d in Computer Engineering at University ofFlorida, USA in 2008. He is a research professor atthe Center for Research and Advanced Studies of the IPN(CINVESTAV), Guadalajara campus. His research interestsinclude machine learning and data mining, artificialintelligence, computer vision, analysis of algorithms,and numerical optimization.  

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Published

2015-09-30

Issue

Vol. 19 No. 3 (2015): 19(3) 2015 Thematic issue: Vision and Robotics (Guest editors: S. Ortega, A. Pedroza, O. Carbajal, B. Castillo Toledo)

Section

Articles

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