DocumentCode :
249128
Title :
3D curvature analysis with a novel one-shot technique
Author :
Di Martino, J. Matias ; Fernandez, Alicia ; Ferrari, Jose A.
Author_Institution :
Fac. de Ing., Univ. de la Republica, Montevideo, Uruguay
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3818
Lastpage :
3822
Abstract :
In this work we will show that it is possible to perform three-dimensional (3D) analysis and extract features without performing a 3D surface reconstruction. We propose a novel approach that consists in acquiring the scene under the projection of structured light (plus the natural ambient illumination), which allows us to obtain the depth gradient map using a simple processing step with very low hardware requirements.
Keywords :
feature extraction; 3D curvature analysis; 3D surface reconstruction; depth gradient map; feature extraction; one-shot technique; scene acquisition; structured light projection; three-dimensional analysis; Cameras; Face; Face recognition; Nose; Shape; Surface treatment; Three-dimensional displays; 3D feature extraction; Face curvatures; HK classification; Nose location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025775
Filename :
7025775
Link To Document :
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