dc.contributor.author | Rodrigues, Marcos A. | en_US |
dc.contributor.author | Robinson, A. | en_US |
dc.contributor.editor | H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp | en_US |
dc.date.accessioned | 2013-04-25T14:10:24Z | |
dc.date.available | 2013-04-25T14:10:24Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.isbn | 978-3-905674-31-6 | en_US |
dc.identifier.issn | 1997-0463 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/3DOR/3DOR11/009-016 | en_US |
dc.description.abstract | The main contribution of this paper is to present a novel method for automatic 3D face recognition based on sampling a 3D mesh structure in the presence of noise. A structured light method using line projection is employed where a 3D face is reconstructed from a single 2D shot. The process from image acquisition to recognition is described with focus on its real-time operation. Recognition results are presented and it is demonstrated that it can perform recognition in just over one second per subject in continuous operation mode and thus, suitable for real time operation. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric algorithms, languages, and systems | en_US |
dc.title | Real-Time 3D Face Recognition using Line Projection and Mesh Sampling | en_US |
dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | en_US |
dc.description.sectionheaders | 3D Recognition | en_US |