3D Face Expression Recognition via Geometry A Preparatory Path
This work presents a preliminary automatic 3D facial expression recognition procedure based on point-by-point mapping of seventeen Differential Geometry descriptors onto the query facial depth map, which is then partitioned into seventy-nine regions. Then, mean, median, mode, volumes, histograms are computed for each region and for each descriptor, and adopted as features, to reach a diverse set of parameters representing the shape description of the query face. Each parameter set, given by a geometrical descriptor, a region, and a feature, form a trio, whose featuring numerical values are compared with appropriate thresholds, set via experimentation. This allows the identification of the emotion-based expression of the probe 3D face among the six basic ones (anger, disgust, fear, joy, sadness, surprise). The algorithm has been tested on the Bosphorus database and is conceived to be applied to security, marketing, medical contexts. The three-dimensional context has been chosen due to its invariance to different lightening/make-up/camouflage conditions.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.