High-precision detection of facial landmarks to estimate head motions based on vision models

Gao, Xiaohong W., Anishenko, Sergey, Shaposhnikov, D. G., Podladchikova, L. N., Batty, Stephen and Clark, John (2007) High-precision detection of facial landmarks to estimate head motions based on vision models. Journal of computer sciences, 3 (7). pp. 528-532. ISSN 1549-3636

Full text is not in this repository.

Abstract

A new approach of determination of head movement is presented from the pictures recorded
via digital cameras monitoring the scanning processing of PET. Two human vision models of
CIECAMs and BMV are applied to segment the face region via skin colour and to detect local facial
landmarks respectively. The developed algorithms are evaluated on the pictures (n=12) monitoring a
subject’s head while simulating PET scanning captured by two calibrated cameras (located in the front
and left side from a subject). It is shown that centers of chosen facial landmarks of eye corners and
middle point of nose basement have been detected with very high precision (1 ± 0.64 pixels). Three
landmarks on pictures received by the front camera and two by the side camera have been identified.
Preliminary results on 2D images with known moving parameters show that movement parameters of
rotations and translations along X, Y, and Z directions can be obtained very accurately via the
described methods.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 1755
Useful Links:
Depositing User: Repository team
Date Deposited: 31 Mar 2009 14:35
Last Modified: 13 Oct 2016 14:13
URI: https://eprints.mdx.ac.uk/id/eprint/1755

Actions (login required)

Edit Item Edit Item