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Identification of deformations on smooth surfaces

Published: 22 June 2012 Publication History

Abstract

The work is dedicated to the discovering and estimation of local deformations on smooth surfaces of unknown shape. Stereo vision principle is used. The analyzed surface is illuminated by a structured light from a laser projector and an image of the surface is acquired by a photo camera. A 3D approximated object surface is computed and used to determine the corrections of the camera image perspective distortions. Another light pattern of stripes is next projected over the object and the local deformations of its surface are estimated by calculating the Euclidian distances between the contours of the stripes and their low-order polynomial approximations on the acquired image. The experimental results confirm the feasibility of the proposed approach.

References

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T. Peng, Algorithms and Models for 3-D Shape Measurement Using Digital Fringe Projections, Thesis submitted to the Faculty of the Graduate School of the University of Maryland, College Park in partial fulfillment of the requirements for the degree of Doctor of Philosophy, 2006
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cover image ACM Other conferences
CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
June 2012
440 pages
ISBN:9781450311939
DOI:10.1145/2383276
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2012

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Author Tags

  1. deformation identification
  2. stereo vision
  3. structured light

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CompSysTech'12

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