Some aspects of pseudo random binary array-based surface characterization

H.J.W. Spoelder; F.M. Vos; E.M. Petriu; F.C.A. Groen

doi:10.1109/19.893279

Some aspects of pseudo random binary array-based surface characterization

H.J.W. Spoelder, F.M. Vos, E.M. Petriu, F.C.A. Groen

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

In this paper, we report on an algorithm which we have developed to model three-dimensional (3-D) scenes with color-coded Pseudo Random Binary Arrays (PRBAs). The algorithm comprises three steps: first, a graph recovery, then an iterative reinspection, and finally application of the PRBA information. The combination of these three steps allows the algorithm to become auto adaptive to the surface studied. This approach also opens ways to dynamically adapt a PRBA to the surface studied in order to achieve optimal resolution.

Original language	English
Pages (from-to)	1331-1336
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	49
DOIs	https://doi.org/10.1109/19.893279
Publication status	Published - 2000

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title = "Some aspects of pseudo random binary array-based surface characterization",

abstract = "In this paper, we report on an algorithm which we have developed to model three-dimensional (3-D) scenes with color-coded Pseudo Random Binary Arrays (PRBAs). The algorithm comprises three steps: first, a graph recovery, then an iterative reinspection, and finally application of the PRBA information. The combination of these three steps allows the algorithm to become auto adaptive to the surface studied. This approach also opens ways to dynamically adapt a PRBA to the surface studied in order to achieve optimal resolution.",

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AU - Vos, F.M.

AU - Petriu, E.M.

AU - Groen, F.C.A.

PY - 2000

Y1 - 2000

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AB - In this paper, we report on an algorithm which we have developed to model three-dimensional (3-D) scenes with color-coded Pseudo Random Binary Arrays (PRBAs). The algorithm comprises three steps: first, a graph recovery, then an iterative reinspection, and finally application of the PRBA information. The combination of these three steps allows the algorithm to become auto adaptive to the surface studied. This approach also opens ways to dynamically adapt a PRBA to the surface studied in order to achieve optimal resolution.

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DO - 10.1109/19.893279

M3 - Article

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JO - IEEE Transactions on Instrumentation and Measurement

JF - IEEE Transactions on Instrumentation and Measurement

SN - 0018-9456

ER -

Some aspects of pseudo random binary array-based surface characterization

Abstract

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