3D Face Recognition on Low-Cost Depth Sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112031" target="_blank" >RIV/00216305:26230/14:PU112031 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10679" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10679</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
3D Face Recognition on Low-Cost Depth Sensors
Original language description
This paper deals with the biometric recognition of 3D faces with the emphasis on the low-cost depth sensors; such are Microsoft Kinect and SoftKinetic DS325. The presented approach is based on the score-level fusion of individual recognition units. Each unit processes the input face mesh and produces a curvature, depth, or texture representation. This image representation is further processed by specific Gabor or Gauss-Laguerre complex filter. The absolute response is then projected to lower-dimension representations and the feature vector is thus extracted. Comparison scores of individual recognition units are combined using transformation-based, classifier-based, or density-based score-level fusion. The results suggest that even poor quality low-resolution scans containing holes and noise might be successfully used for recognition in relatively small databases.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)
ISBN
978-3-88579-624-4
ISSN
1617-5468
e-ISSN
—
Number of pages
8
Pages from-to
195-202
Publisher name
GI - Group for computer science
Place of publication
Darmstadt
Event location
Darmstadt
Event date
Sep 10, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000412427900017