Towards robust 3D face recognition from noisy range images with low resolution
dc.contributor.author | Ebers, Olga | |
dc.contributor.author | Ebers, Tatjana | |
dc.contributor.author | Spiridonidou, Thea | |
dc.contributor.author | Plaue, Matthias | |
dc.contributor.author | Beckmann, Philipp | |
dc.contributor.author | Bärwolff, Günter | |
dc.contributor.author | Schwandt, Hartmut | |
dc.date.accessioned | 2021-12-17T10:07:43Z | |
dc.date.available | 2021-12-17T10:07:43Z | |
dc.date.issued | 2008-10-27 | |
dc.description.abstract | For a number of different security and industrial applications, there is the need for reliable person identification methods. Among these methods, face recognition has a number of advantages such as being non-invasive and potentially covert. Since the device for data acquisition is a conventional camera, other advantages of a 2D face recognition system are its low data capture duration and its low cost. However, the recent introduction of fast and comparatively inexpensive time-of-flight (TOF) cameras for the recording of 2.5D range data calls for a closer look at 3D face recognition in this context. One major disadvantage, however, is the low quality of the data aquired with such cameras. In this paper, we introduce a robust 3D face recognition system based on such noisy range images with low resolution. | en |
dc.identifier.issn | 2197-8085 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/15630 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-14403 | |
dc.language.iso | en | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.ddc | 510 Mathematik | en |
dc.subject.other | 3D face recognition | en |
dc.subject.other | time-of-flight camera | en |
dc.subject.other | range data denoising | en |
dc.subject.other | pattern recognition | en |
dc.subject.other | pattern matching | en |
dc.title | Towards robust 3D face recognition from noisy range images with low resolution | en |
dc.type | Research Paper | en |
dc.type.version | submittedVersion | en |
tub.accessrights.dnb | free | en |
tub.affiliation | Fak. 2 Mathematik und Naturwissenschaften::Inst. Mathematik | de |
tub.affiliation.faculty | Fak. 2 Mathematik und Naturwissenschaften | de |
tub.affiliation.institute | Inst. Mathematik | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |
tub.series.issuenumber | 2008, 33 | en |
tub.series.name | Preprint-Reihe des Instituts für Mathematik, Technische Universität Berlin | en |
tub.subject.msc2000 | 68T45 Machine vision and scene understanding | en |
tub.subject.msc2000 | 68U10 Image processing | en |
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