@inproceedings { , title = {Automatic features characterization from 3d facial images.}, abstract = {This paper presents a novel and computationally fast method for automatic identification of symmetry profile from 3D facial images. The algorithm is based on the concepts of computational geometry which yield fast and accurate results. In order to detect the symmetry profile of a human face, the tip of the nose is identified first. Assuming that the symmetry plane passes through the tip of the nose, the symmetry profile is then extracted. This is undertaken by means of computing the intersection between the symmetry plane and the facial mesh, resulting in a planner curve that accurately represents the symmetry profile. Experimentation using two different 3D face databases was carried out, resulting in fast and accurate results.}, conference = {14th International computer graphics and virtual reality conference (CGVR 2010)}, isbn = {1601321368}, note = {COMPLETED -- Permission rec'd 10/10/2016 LM -- No reply from original email address so tried sc@world-com.org. 4/10/2016 LM -- Document rec'd 16/8/2016 LM -- Emailed editor@world-comp.org for permission 15/8/2016 LM -- Requested doc from contact 15/8/2016 ADDITIONAL INFORMATION: Elyan, Eyad}, pages = {67-73}, publicationstatus = {Published}, publisher = {CSREA Press Inc}, url = {http://hdl.handle.net/10059/1885}, keyword = {3D images, Features extraction, Facial symmetry, Computational geometry}, year = {2010}, author = {Elyan, Eyad and Ugail, Hassan} editor = {Arabnia, Hamid R. and Deligiannidis, Leonidas and Solo, Ashu M. G.} }