01396nas a2200193 4500008004100000020002200041022001400063245008000077210006900157260003800226300001400264520070300278100001900981700001701000700002301017700002001040700002001060856012201080 2010 eng d a978-3-642-15551-2 a0302-974300aAffine puzzle: Realigning deformed object fragments without correspondences0 aAffine puzzle Realigning deformed object fragments without corre aCrete, GreecebSpringercSep 2010 a777 - 7903 a
This paper is addressing the problem of realigning broken objects without correspondences. We consider linear transformations between the object fragments and present the method through 2D and 3D affine transformations. The basic idea is to construct and solve a polynomial system of equations which provides the unknown parameters of the alignment. We have quantitatively evaluated the proposed algorithm on a large synthetic dataset containing 2D and 3D images. The results show that the method performs well and robust against segmentation errors. We also present experiments on 2D real images as well as on volumetric medical images applied to surgical planning. © 2010 Springer-Verlag.
1 aDomokos, Csaba1 aKato, Zoltan1 aDaniilidis, Kostas1 aMaragos, Petros1 aParagios, Nikos uhttps://www.inf.u-szeged.hu/en/publication/affine-puzzle-realigning-deformed-object-fragments-without-correspondences00373nas a2200097 4500008004100000245007700041210006900118260003000187300001400217856004400231 1997 eng d00aA parallel 12-subiteration 3D thinning algorithm to extract medial lines0 aparallel 12subiteration 3D thinning algorithm to extract medial aBerlinbSpringerc1997/// a400 - 407 uhttps://www.inf.u-szeged.hu/en/node/954