Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-14403
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Main Title: Towards robust 3D face recognition from noisy range images with low resolution
Author(s): Ebers, Olga
Ebers, Tatjana
Spiridonidou, Thea
Plaue, Matthias
Beckmann, Philipp
Bärwolff, Günter
Schwandt, Hartmut
Type: Research Paper
URI: https://depositonce.tu-berlin.de/handle/11303/15630
http://dx.doi.org/10.14279/depositonce-14403
License: http://rightsstatements.org/vocab/InC/1.0/
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.
Subject(s): 3D face recognition
time-of-flight camera
range data denoising
pattern recognition
pattern matching
Issue Date: 27-Oct-2008
Date Available: 17-Dec-2021
Language Code: en
DDC Class: 510 Mathematik
MSC 2000: 68T45 Machine vision and scene understanding
68U10 Image processing
Series: Preprint-Reihe des Instituts für Mathematik, Technische Universität Berlin
Series Number: 2008, 33
ISSN: 2197-8085
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Mathematik
Appears in Collections:Technische Universität Berlin » Publications

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