| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000388899 |
| ISSN: | 1405-5546 |
| Authors: | Fernández Cervantes, Víctor1 García, Arturo1 Ramos, Marco Antonio2 Méndez, Andrés1 |
| Institutions: | 1Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados, Guadalajara, Jalisco. México 2Universidad Autónoma del Estado de México, Toluca, Estado de México. México |
| Year: | 2015 |
| Season: | Jul-Sep |
| Volumen: | 19 |
| Number: | 3 |
| Pages: | 529-546 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English 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 |
| Disciplines: | Ciencias de la computación |
| Keyword: | Procesamiento de datos, Reconocimiento de rostros, Segmentación de imágenes, Lógica difusa |
| Keyword: | Computer science, Data processing, Face recognition, Image segmentation, Fuzzy logic |
| Full text: | Texto completo (Ver HTML) |
