Detecting multiple texture planes using local spectral distortion

Abstract

This paper presents a spectral method for identifying multiple texture planes. We commence by showing how pairs of spectral peaks can be used to make direct estimates of the slant and tilt angles. Our method commences by computing the affine distortion matrices for pairs of corresponding spectral peaks. We show that the directions of the eigenvectors of the affine distortion matrices can be used to estimate local planar pose. The leading eigenvector points in the tilt direction and the direction of the second eigenvector can be used to estimate the slant direction. By searching for clusters in the computed slant and tilt angles, we locate multiple texture planes. We apply the method to a variety of real-world and synthetic imagery. q

Estimating the Orientation and Recovery of Text Planes in a Single Image

“…Ribeiro and Hancock [8] and Criminisi and Zisserman [3] have both presented methods which use texture distortion to estimate the vanishing points of the text plane. Affine distortion in power spectra are found along straight lines in [8], and correlation measures are used in [3] to determine first the orientation of the vanishing line and then its position. Although text has repetitive elements (characters and lines) these elements do not match each other exactly, and sometimes may cover only a small area of the image.…”