A new retrieval system for a database of 3D facial images
| Autor: | C. David, L. Thomas, Hiroshi Yano, Toyohisa Tanijiri, Mari Taniguchi, Sachio Miyasaka, Mineo Yoshino, John G. Clement, Kazuhiko Imaizumi |
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| Rok vydání: | 2005 |
| Předmět: |
Adult
Male Similarity (geometry) Computer science Facial motion capture ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Information Storage and Retrieval computer.software_genre Pathology and Forensic Medicine Image (mathematics) Imaging Three-Dimensional Software Asian People Japan Humans Computer vision Image retrieval Anatomy Cross-Sectional Database business.industry Orientation (computer vision) Reproducibility of Results Forensic Medicine Identification (information) Databases as Topic Face Face (geometry) Forensic Anthropology Artificial intelligence business Law computer |
| Zdroj: | Forensic Science International. 148:113-120 |
| ISSN: | 0379-0738 |
| DOI: | 10.1016/j.forsciint.2004.04.074 |
| Popis: | A new retrieval system for a 3D facial image database was designed and its reliability was experimentally examined. This system has two steps, firstly to automatically adjust the orientation of all 3D facial images in a database to that of the 2D facial image of a target person, and then to identify the facial image of the target person from the adjusted 3D facial images in the database using a graph-matching method. From the experimental study [M. Yoshino, K. Imaizumi, T. Tanijiri, J.G. Clement, Automatic adjustment of facial orientation in 3D face image database, Jpn. J. Sci. Tech. Iden. 8 (2003) 41-47], it is concluded that the software developed for the first step will be applicable to the automatic adjustment of facial orientation in the 3D facial image database. In 28 out of 110 sets (25.5%), the 3D image of the target person was chosen as the best match (from a database of 132 3D facial images) according to the similarity of the facial image characteristics based on the graph matching. The 3D facial image of the target person was ranked in the top of 10 of the database in 75 out of 110 sets (68.2%). These results suggest that this system is inadequate for the identification level, but may be feasible for screening method in a small database. It will be necessary to further pursue the possibility of realization of a facial image retrieval system for a large database such as suspects' facial images in future. |
| Databáze: | OpenAIRE |
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