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Literature DB >> 3339026

A least-squares algorithm for the equiform transformation from spatial marker co-ordinates.

F E Veldpaus¹, H J Woltring, L J Dortmans.

Abstract

The present paper describes an algorithm for estimating the translation vector and the rotation matrix of a moving body from noisy measurements on the spatial co-ordinates of at least three non-collinear markers. A sensitivity analysis of the estimated parameters and of the helical axis is presented in terms of characteristics of the marker distribution. The implementation of the proposed algorithm in a FORTRAN-subroutine is appended.

Mesh：

Year: 1988 PMID： 3339026 DOI： 10.1016/0021-9290(88)90190-x

Source DB: PubMed Journal: J Biomech ISSN： 0021-9290 Impact factor: 2.712

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Cited

32 in total

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2. Evaluation of an image-guided, robotically positioned transcranial magnetic stimulation system.

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3. Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine.

Authors: A Kettler; F Marin; G Sattelmayer; M Mohr; H Mannel; L Dürselen; L Claes; H J Wilke
Journal: Eur Spine J Date: 2004-05-18 Impact factor: 3.134

A least-squares algorithm for the equiform transformation from spatial marker co-ordinates.

1. Retinal slip during active head motion and stimulus motion.

2. Evaluation of an image-guided, robotically positioned transcranial magnetic stimulation system.

3. Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine.

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