Carnegie Mellon Robotics Institute
Artificial Intelligence, No. 22, 1984, pp. 49 - 75.
|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.
Associated Center(s) / Consortia:
Vision and Autonomous Systems Center
|Katsushi Ikeuchi, "Shape from Regular Patterns," Artificial Intelligence, No. 22, 1984, pp. 49 - 75.|
author = "Katsushi Ikeuchi",
title = "Shape from Regular Patterns",
journal = "Artificial Intelligence",
pages = "49 - 75",
year = "1984",
number = "22",
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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