Shape from Regular Patterns - Robotics Institute Carnegie Mellon University

Shape from Regular Patterns

Katsushi Ikeuchi
Journal Article, Artificial Intelligence, No. 22, pp. 49 - 75, 1984

Abstract

This paper describes an algorithm to obtain local surface orientation from the apparent surface-pattern distortion in an image. We propose a spherical projection to model perspective imaging. A mapping is defined based on the measurement of the local distortions of a repeated known texture pattern due Io the image projection. This mapping maps an apparent shape on the image sphere lo a locus of possible surface orientations on the Gaussian sphere. An iterative constraint propagation algorithm with the orientations at occluding boundaries reduces possible surface orientations to a unique orientation. This algorithm can recover local surface orientation as well as interpolate surface orientations where no information is available. This algorithm is applied to a real image to demonstrate its performance.

BibTeX

@article{Ikeuchi-1984-15621,
author = {Katsushi Ikeuchi},
title = {Shape from Regular Patterns},
journal = {Artificial Intelligence},
year = {1984},
month = {January},
number = {22},
pages = {49 - 75},
}