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