@article{Rodriguez Acevedo_Prieto Ortiz_2015, title={Análisis y Comparación del Descriptor Cone Curvature frente al Reconocimiento de Expresiones Faciales}, volume={20}, url={https://revistas.udistrital.edu.co/index.php/reving/article/view/8620}, DOI={10.14483/23448393.8620}, abstractNote={<p>This article presents the results of analyzing the behavior of the Cone Curvature shape<br />descriptor (CC) in the task of recognition of facial expressions in 3D images. The CC<br />descriptor is a representation of the 3D model computed from a set of waves modeling<br />for each vertex of a polygon mesh. The 3D Facial Expression Database (BU-3DFE) was<br />used, which contains images with six facial expressions. With the use of the CC descriptor,<br />the expressions were recognized in an average percentage of 76.67% with a neural<br />network, and of 78.88% with a Bayesian classifier. By combining the CC descriptor with<br />other descriptors such as DESIRE and Spherical Spin Image, it was achieved an average<br />percentage of gesture recognition of 90.27%and 97.2 %, using the mentioned classifiers.</p>}, number={2}, journal={Ingeniería}, author={Rodriguez Acevedo, Julián Severiano and Prieto Ortiz, Flavio Augusto}, year={2015}, month={Aug.}, pages={271–285} }