Metric measurements of 3D object features by a moving camera

H. Y. Chen; Y. F. Li

doi:10.1109/IMTC.2004.1351097

Metric measurements of 3D object features by a moving camera

H. Y. Chen
, Y. F. Li

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

2 Citations (Scopus)

Abstract

With a partially calibrated stereo or shape from unknown motion method, the reconstruction of an object can be performed but at most up to a scale factor. Therefore, metric measurements of the 3D features cannot be achieved. This paper proposes a method to enable metric measurements of the 3D features starting from 3D length measurement by moving camera. The best focused location in an image is used as a cue in upgrading the relative geometry of a target feature into an absolute one. Hence, we can obtain dimension and metric sizes of object features.

Original language	English
Pages (from-to)	498-503
Journal	Conference Record - IEEE Instrumentation and Measurement Technology Conference
Volume	1
DOIs	https://doi.org/10.1109/IMTC.2004.1351097
Publication status	Published - 2004
Event	Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 - Como, Italy Duration: 18 May 2004 → 20 May 2004

Research Keywords

3D measurement
Best focused location
Moving camera
Robot vision
Visual feature

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title = "Metric measurements of 3D object features by a moving camera",

abstract = "With a partially calibrated stereo or shape from unknown motion method, the reconstruction of an object can be performed but at most up to a scale factor. Therefore, metric measurements of the 3D features cannot be achieved. This paper proposes a method to enable metric measurements of the 3D features starting from 3D length measurement by moving camera. The best focused location in an image is used as a cue in upgrading the relative geometry of a target feature into an absolute one. Hence, we can obtain dimension and metric sizes of object features.",

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year = "2004",

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language = "English",

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pages = "498--503",

journal = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

note = "Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 ; Conference date: 18-05-2004 Through 20-05-2004",

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AU - Chen, H. Y.

AU - Li, Y. F.

PY - 2004

Y1 - 2004

N2 - With a partially calibrated stereo or shape from unknown motion method, the reconstruction of an object can be performed but at most up to a scale factor. Therefore, metric measurements of the 3D features cannot be achieved. This paper proposes a method to enable metric measurements of the 3D features starting from 3D length measurement by moving camera. The best focused location in an image is used as a cue in upgrading the relative geometry of a target feature into an absolute one. Hence, we can obtain dimension and metric sizes of object features.

AB - With a partially calibrated stereo or shape from unknown motion method, the reconstruction of an object can be performed but at most up to a scale factor. Therefore, metric measurements of the 3D features cannot be achieved. This paper proposes a method to enable metric measurements of the 3D features starting from 3D length measurement by moving camera. The best focused location in an image is used as a cue in upgrading the relative geometry of a target feature into an absolute one. Hence, we can obtain dimension and metric sizes of object features.

KW - 3D measurement

KW - Best focused location

KW - Moving camera

KW - Robot vision

KW - Visual feature

UR - https://www.scopus.com/pages/publications/4644307781

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-4644307781&origin=recordpage

U2 - 10.1109/IMTC.2004.1351097

DO - 10.1109/IMTC.2004.1351097

M3 - RGC 22 - Publication in policy or professional journal

VL - 1

SP - 498

EP - 503

JO - Conference Record - IEEE Instrumentation and Measurement Technology Conference

JF - Conference Record - IEEE Instrumentation and Measurement Technology Conference

T2 - Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04

Y2 - 18 May 2004 through 20 May 2004

ER -

Metric measurements of 3D object features by a moving camera

Abstract

Research Keywords

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