SHAPE FROM TEXTURE USING LOCALLY SCALED POINT PROCESSES

Autor:	Eva-Maria Didden, Thordis Thorarinsdottir, Alex Lenkoski, Christoph Schnörr
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	3D scenes convex texture elements locally scaled point processes near regular texture perspective scaling shape analysis Medicine (General) R5-920 Mathematics QA1-939
Zdroj:	Image Analysis and Stereology, Vol 34, Iss 3, Pp 161-170 (2015)
Druh dokumentu:	article
ISSN:	1580-3139 1854-5165
DOI:	10.5566/ias.1078
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ed36520e97f5429ba4b542acd7c4fb08 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF