A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Body expression recognition from animated 3D skeleton
2016
2016 International Conference on 3D Imaging (IC3D)
We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose. Features proposed in this article are computationally simple and intuitive to understand. They are based on visual cues and provide in-depth understanding of body postures required to recognize body expressions. We have evaluated our approach on different databases
doi:10.1109/ic3d.2016.7823448
dblp:conf/ic3d/CrennKMB16
fatcat:4z4r3p7ijbcffdyyrenjzkckfi