Real-time computation of Haar-like features at generic angles for detection algorithms

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dc.contributor.authorBarczak, A.L.C.
dc.contributor.authorJohnson, M.J.
dc.contributor.authorMessom, C.H.
dc.date.accessioned2013-05-20T03:56:18Z
dc.date.available2013-05-20T03:56:18Z
dc.date.issued2006
dc.description.abstractThis paper proposes a new approach to detect rotated objects at distinct angles using the Viola-Jones detector. The use of additional Integral Images makes an approximation the Haar-like features for any given angle. The proposed approach uses di erent types of Haar-like features, including features that compute areas at 45o, 26.5o and 63.5o of rotation. Given a trained classi er (using normal features) a conversion is made using a pair of features so an equivalent value is computed for any angle. This conversion is only an approximation, but the errors are constrained and they would have limited impact on the nal accuracy of the classi er. We discuss the sources of errors in the computation of the Haar-like features and show through experiments that in natural images the errors are often negligible.en
dc.identifier.citationBarczak, A.L.C., Johnson, M.J., Messom, C.H. (2006), Real-time computation of Haar-like features at generic angles for detection algorithms, Research Letters in the Information and Mathematical Sciences, 9, 98-111en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4481
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectHaar-like featuresen
dc.subjectPattern recognitionen
dc.subjectReal-time object detectionen
dc.subjectViola-Jones detectionen
dc.subjectRotation invariant detectorsen
dc.titleReal-time computation of Haar-like features at generic angles for detection algorithmsen
dc.typeArticleen
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