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dc.contributor.authorIonita, Mircea C.en
dc.contributor.authorCorcoran, Peter M.en
dc.contributor.authorBuzuloiu, Vasileen
dc.date.accessioned2010-11-02T09:47:47Zen
dc.date.available2010-11-02T09:47:47Zen
dc.date.issued2009-05-12en
dc.identifier.citationIonita, M. C., Corcoran, P., & Buzuloiu, V. (2009). On Color Texture Normalization for Active Appearance Models. Image Processing, IEEE Transactions on, 18(6), 1372-1378.en
dc.identifier.issn1057-7149en
dc.identifier.urihttp://hdl.handle.net/10379/1350en
dc.description.abstractThe extension of the standard grayscale active appearance model (AAM) techniques to color images is investigated. Prior work in this field has mainly focused on RGB color models which did not demonstrate noticeable benefits over grayscale models from the point of view of convergence accuracy. We improve on previous work by normalizing the color texture vector separately for intensity and chromaticity components. Where an appropriate color space is chosen, we demonstrate improvements in convergence accuracy as well as image synthesization quality for AAMs. Optimal results are achieved when a color space in which the image channels are strongly decorrelated is chosen. Our best results are achieved using the I1I2I3 color space, originally proposed by Ohta.en
dc.formatapplication/pdfen
dc.publisherIEEEen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectActive appearance model (AAM)en
dc.subjectPCAen
dc.subjectColor spacesen
dc.subjectImage colour analysisen
dc.subjectImage textureen
dc.subjectRGB color modelsen
dc.subjectChromaticity componentsen
dc.subjectElectrical and electronic engineeringen
dc.titleOn color texture normalization for active appearance modelsen
dc.typeArticleen
dc.local.publishedsourcehttp://dx.doi.org/10.1109/TIP.2009.2017163en
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderIEEE Signal Processing Societyen
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland