00668nas a2200157 4500008004100000245010600041210007600147260003800223300001400261100001900275700002100294700002100315700001700336700002100353856013600374 2013 eng d00a2D és 3D bináris objektumok lineáris deformáció-becslésének numerikus megoldási lehetőségei0 a2D és 3D bináris objektumok lineáris deformációbecslésének numer aVeszprémbNJSZT-KÉPAFcJan 2013 a526 - 5411 aTanacs, Attila1 aLindblad, Joakim1 aSladoje, Nataša1 aKato, Zoltan1 aCzúni, László uhttps://www.inf.u-szeged.hu/publication/2d-es-3d-binaris-objektumok-linearis-deformacio-becslesenek-numerikus-megoldasi-lehetosegei00572nas a2200169 4500008004100000245005500041210005500096260002800151300001400179100001900193700002100212700002100233700001700254700001700271700002300288856009100311 2011 eng d00a3D objektumok lineáris deformációinak becslése0 a3D objektumok lineáris deformációinak becslése aSzegedbNJSZTcJan 2011 a471 - 4801 aTanacs, Attila1 aLindblad, Joakim1 aSladoje, Nataša1 aKato, Zoltan1 aKato, Zoltan1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/3d-objektumok-linearis-deformacioinak-becslese01140nas a2200157 4500008004100000245005200041210005200093260004100145300001400186520061200200100001900812700002100831700002100852700001700873856009200890 2010 eng d00aEstimation of linear deformations of 3D objects0 aEstimation of linear deformations of 3D objects aHong Kong, Hong KongbIEEEcSep 2010 a153 - 1563 a
We propose a registration method to find affine transformations between 3D objects by constructing and solving an overdetermined system of polynomial equations. We utilize voxel coverage information for more precise object boundary description. An iterative solution enables us to easily adjust the method to recover e.g. rigid-body and similarity transformations. Synthetic tests show the advantage of the voxel coverage representation, and reveal the robustness properties of our method against different types of segmentation errors. The method is tested on a real medical CT volume. © 2010 IEEE.
1 aTanacs, Attila1 aLindblad, Joakim1 aSladoje, Nataša1 aKato, Zoltan uhttps://www.inf.u-szeged.hu/publication/estimation-of-linear-deformations-of-3d-objects01494nas a2200205 4500008004100000245005100041210005100092260004500143300001400188520082800202100001901030700001901049700002101068700002101089700001701110700002401127700002601151700002001177856009101197 2009 eng d00aRecovering affine deformations of fuzzy shapes0 aRecovering affine deformations of fuzzy shapes aOslo, NorwaybSpringer-VerlagcJune 2009 a735 - 7443 aFuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants. © 2009 Springer Berlin Heidelberg.
1 aTanacs, Attila1 aDomokos, Csaba1 aSladoje, Nataša1 aLindblad, Joakim1 aKato, Zoltan1 aSalberg, Arnt-Borre1 aHardeberg, Jon, Yngve1 aJenssen, Robert uhttps://www.inf.u-szeged.hu/publication/recovering-affine-deformations-of-fuzzy-shapes