@inproceedings{0d73e368ce314d6dab47cfb4b8275a01,
title = "3D curvature analysis with a novel one-shot technique",
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 = "3D feature extraction, Face curvatures, HK classification, Nose location",
author = "\{Di Martino\}, \{J. Matias\} and Alicia Fernandez and Ferrari, \{Jose A.\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025775",
language = "Ingl{\'e}s",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3818--3822",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}