Recovering facial pose with the EM algorithm
- Authors
- Choi, K.N.; Carcassoni, M.; Hancock, E.R.
- Issue Date
- Oct-2002
- Publisher
- ELSEVIER SCI LTD
- Keywords
- facial pose estimation; facial feature detection; EM algorithm
- Citation
- PATTERN RECOGNITION, v.35, no.10, pp 2073 - 2093
- Pages
- 21
- Journal Title
- PATTERN RECOGNITION
- Volume
- 35
- Number
- 10
- Start Page
- 2073
- End Page
- 2093
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47967
- DOI
- 10.1016/S0031-3203(01)00173-X
- ISSN
- 0031-3203
1873-5142
- Abstract
- This paper describes how 3D facial pose may be estimated by fitting a template to 2D feature locations. The fitting process is realised as projecting the control points of a 3D template onto the 2D feature locations under orthographic projection. The parameters of the orthographic projection are iteratively estimated using the EM algorithm. The method is evaluated on both contrived data with known ground-truth together with some more naturalistic imagery. These experiment, reveal that under favourable conditions the algorithm can estimate facial pitch to within 3degrees.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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