Nonlinear shape restoration of distorted images with coons transformation

Seong Whan Lee, Eun Soon Kim, Yuan Y. Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image shape restoration based on mathematical transformation is a successful approach to nonlinear distortions in computer vision, robot vision and pattern recognition. The key of this process is to find the distortion function and its inverse function. Usually, the distortion function is unknown or unclear. Even in the case of that when the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, in this paper, Coons transformation utilizing the boundary functions for the distorted images have been used to approximate the exact distortion function. The boundary functions are calculated using B-splinc curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PublisherIEEE Computer Society
Pages235-238
Number of pages4
ISBN (Electronic)0818671289
DOIs
Publication statusPublished - 1995 Jan 1
Event3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada
Duration: 1995 Aug 141995 Aug 16

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume1
ISSN (Print)1520-5363

Conference

Conference3rd International Conference on Document Analysis and Recognition, ICDAR 1995
CountryCanada
CityMontreal
Period95/8/1495/8/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Nonlinear shape restoration of distorted images with coons transformation'. Together they form a unique fingerprint.

  • Cite this

    Lee, S. W., Kim, E. S., & Tang, Y. Y. (1995). Nonlinear shape restoration of distorted images with coons transformation. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 (pp. 235-238). [598984] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1995.598984