A Novel SVD Based Algorithm for Pose Estimation

Veronika Putz; Bernhard Zagar

A Novel SVD Based Algorithm for Pose Estimation

Veronika Putz
, Bernhard Zagar

Institute of Measurement Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

In Close Range Photometry, the rapid development of low-cost digital imaging systems has led to an increased adaptation of uncalibrated consumer cameras for metrological purposes. Many well-developed techniques to derive parameters describing the unknown imaging behavior of camera and optics from a set of recorded images exist. Within an industrial measurement environment, further constraints may arise. This paper introduces a new algorithm to derive exterior camera parameters (position and orientation) from a single recorded image of a predefined test pattern. Experimental results are used to prove its applicability even in cases of partial occlusion.

Original language	English
Title of host publication	Proc. IST 2008, IEEE International Workshop on Imaging Systems and Techniques
Number of pages	6
Publication status	Published - 2008

Fields of science

102003 Image processing
202037 Signal processing
203016 Measurement engineering

JKU Focus areas

Mechatronics and Information Processing

Cite this

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title = "A Novel SVD Based Algorithm for Pose Estimation",

abstract = "In Close Range Photometry, the rapid development of low-cost digital imaging systems has led to an increased adaptation of uncalibrated consumer cameras for metrological purposes. Many well-developed techniques to derive parameters describing the unknown imaging behavior of camera and optics from a set of recorded images exist. Within an industrial measurement environment, further constraints may arise. This paper introduces a new algorithm to derive exterior camera parameters (position and orientation) from a single recorded image of a predefined test pattern. Experimental results are used to prove its applicability even in cases of partial occlusion.",

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year = "2008",

language = "English",

booktitle = "Proc. IST 2008, IEEE International Workshop on Imaging Systems and Techniques",

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TY - GEN

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AU - Putz, Veronika

AU - Zagar, Bernhard

PY - 2008

Y1 - 2008

N2 - In Close Range Photometry, the rapid development of low-cost digital imaging systems has led to an increased adaptation of uncalibrated consumer cameras for metrological purposes. Many well-developed techniques to derive parameters describing the unknown imaging behavior of camera and optics from a set of recorded images exist. Within an industrial measurement environment, further constraints may arise. This paper introduces a new algorithm to derive exterior camera parameters (position and orientation) from a single recorded image of a predefined test pattern. Experimental results are used to prove its applicability even in cases of partial occlusion.

AB - In Close Range Photometry, the rapid development of low-cost digital imaging systems has led to an increased adaptation of uncalibrated consumer cameras for metrological purposes. Many well-developed techniques to derive parameters describing the unknown imaging behavior of camera and optics from a set of recorded images exist. Within an industrial measurement environment, further constraints may arise. This paper introduces a new algorithm to derive exterior camera parameters (position and orientation) from a single recorded image of a predefined test pattern. Experimental results are used to prove its applicability even in cases of partial occlusion.

M3 - Conference proceedings

BT - Proc. IST 2008, IEEE International Workshop on Imaging Systems and Techniques

ER -