caa a22 4500 467914427 CHVBK 20180406152858.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s11263-006-4068-8 doi (NATIONALLICENCE)springer-10.1007/s11263-006-4068-8 Shape from Texture without Boundaries [Elektronische Daten] [Anthony Lobay, D. Forsyth] We describe a shape from texture method that constructs an estimate of surface geometry using only the deformation of individual texture elements. Our method does not need to use either the boundary of the observed surface or any assumption about the overall distribution of elements.The method assumes that surface texture elements are drawn from a number of different types, each of fixed shape. Neither the shape of the elements nor the number of types need be known in advance. We show that, with this assumption and assuming a generic, scaled orthographic view and texture, each type of texture element can be reconstructed in a frontal coordinate system from image instances. Interest-point methods supply a method of simultaneously obtaining instances of each texture element automatically and defining each type of element. Furthermore, image instances that have been marked in error can be identified and ignored using the Expectation-Maximization algorithm. A further EM procedure yields a surface reconstruction and a relative irradiance map from the data. We provide numerous examples of reconstructions for images of real scenes, show a comparison between our reconstruction and range maps, and demonstrate that the reconstructions display geometric and irradiance phenomena that can be observed in the original image. Springer Science + Business Media, Inc., 2006 shape from texture nationallicence texture nationallicence computer vision nationallicence surface fitting nationallicence structure from motion nationallicence auto-calibration nationallicence interest point methods nationallicence Lobay Anthony Computer Science Division, University of California at Berkeley, 94720, Berkeley, CA, USA aut Forsyth D. Computer Science Division, University of California at Berkeley, 94720, Berkeley, CA, USA aut International Journal of Computer Vision Kluwer Academic Publishers 67/1(2006-04-01), 71-91 0920-5691 67:1<71 2006 67 11263 https://doi.org/10.1007/s11263-006-4068-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-4068-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lobay Anthony Computer Science Division, University of California at Berkeley, 94720, Berkeley, CA, USA aut NATIONALLICENCE 700 1- Forsyth D. Computer Science Division, University of California at Berkeley, 94720, Berkeley, CA, USA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 67/1(2006-04-01), 71-91 0920-5691 67:1<71 2006 67 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer