Conference paper

MRÁČEK Štěpán, DRAHANSKÝ Martin, DVOŘÁK Radim, PROVAZNÍK Ivo and VÁŇA Jan. 3D Face Recognition on Low-Cost Depth Sensors. In: Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014). Darmstadt: GI - Group for computer science, 2014, pp. 195-202. ISBN 978-3-88579-624-4. ISSN 1617-5468.
Publication language:english
Original title:3D Face Recognition on Low-Cost Depth Sensors
Title (cs):Rozpozmávání obličejů pomocí levných 3D senzorů
Proceedings:Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)
Conference:Biometrics Special Interest Group 2014
Place:Darmstadt, DE
Journal:GI-Edition Lecture Notes in Informatics (LNI), Vol. 2014, No. 230, Bonn, DE
Publisher:GI - Group for computer science
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3D face recognition, score-level fusion, biometrics, Gabor filter, Gauss-Laguerre filter
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.
   author = {{\v{S}}t{\v{e}}p{\'{a}}n Mr{\'{a}}{\v{c}}ek and Martin
	Drahansk{\'{y}} and Radim Dvo{\v{r}}{\'{a}}k and Ivo
	Provazn{\'{i}}k and Jan V{\'{a}}{\v{n}}a},
   title = {3D Face Recognition on Low-Cost Depth Sensors},
   pages = {195--202},
   booktitle = {Proceedings of the International Conference of Biometrics
	Special Interest Group (BIOSIG 2014)},
   journal = {GI-Edition Lecture Notes in Informatics (LNI)},
   volume = {2014},
   number = {230},
   year = {2014},
   location = {Darmstadt, DE},
   publisher = {GI - Group for computer science},
   ISBN = {978-3-88579-624-4},
   ISSN = {1617-5468},
   language = {english},
   url = {}

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