Vitenskapelig artikkel   2015

Didden, Eva-Maria; Thorarinsdottir, Thordis L.; Lenkoski, Alex; Schnörr, Christoph

Publikasjonsdetaljer

Tidsskrift:

Image Analysis and Stereology, vol. 34, p. 161–170, 2015

Utgave:

3

Internasjonale standardnumre:

Trykt: 1580-3139
Elektronisk: 1854-5165

Lenker:

DOI: doi.org/10.5566/ias.1078

Shape from texture refers to the extraction of 3D information from 2D images with irregular texture. This paper introduces a statistical framework to learn shape from texture where convex texture elements in a 2D image are represented through a point process. In a first step, the 2D image is preprocessed to generate a probability map
corresponding to an estimate of the unnormalized intensity of the latent point process underlying the texture
elements. The latent point process is subsequently inferred from the probability map in a non-parametric,
model free manner. Finally, the 3D information is extracted from the point pattern by applying a locally scaled point process model where the local scaling function represents the deformation caused by the projection of a 3D surface onto a 2D image.