Shape from texture of developable surfaces via Fourier analysis

Authors:
Fabio Galasso;Joan Lasenby
Affiliations:
University of Cambridge, Cambridge, UK;University of Cambridge, Cambridge, UK
Venue:
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Year:
2007

Citing 6
Cited 1

Shape from texture: general principle

Artificial Intelligence
Shape from Texture Using Local Spectral Moments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces

International Journal of Computer Vision
The Texture Gradient Equation for Recovering Shape from Texture

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Texture without Boundaries

International Journal of Computer Vision
Shape from texture: estimation of planar surface orientation through the ridge surfaces of continuous wavelet transform

IEEE Transactions on Image Processing

Shape from Texture Via Fourier Analysis

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Shape from texture has received much attention in the past few decades. We propose a computationally efficient method to extract the 3D shape of developable surfaces from the spectral variations of a visual texture. Under the assumption of homogeneity, the texture is represented by the novel method of identifying ridges of its Fourier transform. Local spatial frequencies are then computed using a minimal set of selected Gabor filters. In both orthographic and perspective projection cases, new geometric equations are presented to compute the shape of developable surfaces from frequencies. The results are validated with semi-synthetic and real pictures.