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Debora Gil, & Petia Radeva. (2004). “Inhibition of False Landmarks ” In J. V. et al (Ed.), Recent Advances in Artificial Intelligence Research and Development (pp. 233–244). Barcelona (Spain): IOS Press.
We argue that a corner detector should be based on the degree of continuity of the tangent vector to the image level sets, work on the image domain and need no assumptions on neither the image local structure nor the particular geometry of the corner/junction. An operator measuring the degree of differentiability of the projection matrix on the image gradient fulfills the above requirements. Its high sensitivity to changes in vector directions makes it suitable for landmark location in real images prone to need smoothing to reduce the impact of noise. Because using smoothing kernels leads to corner misplacement, we suggest an alternative fake response remover based on the receptive field inhibition of spurious details. The combination of both orientation discontinuity detection and noise inhibition produce our Inhibition Orientation Energy (IOE) landmark locator.
Inhibition of False LandmarksDebora GilPetia Radevaal, J.V. etopenurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=bookitem&atitle=Inhibition%20of%20False%20Landmarks&title=Recent%20Advances%20in%20Artificial%20Intelligence%20Research%20and%20Development&btitle=Recent%20Advances%20in%20Artificial%20Intelligence%20Research%20and%20Development&date=2004&spage=233&epage=244&aulast=Debora%20Gil&au=Petia%20Radeva&pub=IOS%20Press&place=Barcelona%20%28Spain%29&sid=refbase%3ACVCDebora Gil, & Petia Radeva. (2004).<a target='_blank' href='/files/GiR2004a.pdf'> "Inhibition of False Landmarks "</a> In J. V. et al (Ed.), Recent Advances in Artificial Intelligence Research and Development (pp. 233-244). Barcelona (Spain): IOS Press.2004BookChaptertextfile:http://refbase.cvc.uab.es/files/GiR2004a.pdfIOS PressRecent Advances in Artificial Intelligence Research and Development2004233244