3-Dimensional facial expression recognition in human using multi-points warping.

ABSTRACT:

Background

Expression in H-sapiens plays a remarkable role when it comes to social communication. The identification of this expression by human beings is relatively easy and accurate. However, achieving the same result in 3D by machine remains a challenge in computer vision. This is due to the current challenges facing facial data acquisition in 3D; such as lack of homology and complex mathematical analysis for facial point digitization. This study proposes facial expression recognition in human with the application of Multi-points Warping for 3D facial landmark by building a template mesh as a reference object. This template mesh is thereby applied to each of the target mesh on Stirling/ESRC and Bosphorus datasets. The semi-landmarks are allowed to slide along tangents to the cur

SUBMITTER: Agbolade O 

PROVIDER: S-EPMC6889223 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature