Face Alignment with Part-Based Modeling
2011 (English)In: BMVC 2011 - Proceedings of the British Machine Vision Conference 2011 / [ed] Hoey, Jesse and McKenna, Stephen and Trucco, Emanuele, UK: British Machine Vision Association, BMVA , 2011, 27.1-27.10 p.Conference paper (Refereed)
We propose a new method for face alignment with part-based modeling. This method is competitive in terms of precision with existing methods such as Active Appearance Models, but is more robust and has a superior generalization ability due to its part-based nature. A variation of the Histogram of Oriented Gradients descriptor is used to model the appearance of each part and the shape information is represented with a set of landmark points around the major facial features. Multiple linear regression models are learnt to estimate the position of the landmarks from the appearance of each part. We verify our algorithm with a set of experiments on human faces and these show the competitive performance of our method compared to existing methods.
Place, publisher, year, edition, pages
UK: British Machine Vision Association, BMVA , 2011. 27.1-27.10 p.
Linear regression, Active appearance models, Competitive performance, Facial feature, Generalization ability, Histogram of oriented gradients, Multiple linear regression models, Part-based models, Shape information
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-45452DOI: 10.5244/C.25.27ISI: 000346360200030ScopusID: 2-s2.0-84898413537ISBN: 1-901725-43-XOAI: oai:DiVA.org:kth-45452DiVA: diva2:452323
2011 22nd British Machine Vision Conference, BMVC 2011, Dundee, United Kingdom, 29 August 2011 through 2 September 2011
QC 201111162011-10-282011-10-282015-04-22Bibliographically approved