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3D Industrial Applications
Volume: 28 | Article ID: art00021
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Structural internal deterioration detection with motion vector field image analysis using monocular camera
Hiroshi Imai
Masahiko Ohta
Kazuhito Murata
  DOI :  10.2352/ISSN.2470-1173.2016.21.3DIPM-410  Published Online :  February 2016
Abstract

This paper describes a non-contact structural internal deterioration measurement method. The method can detect the internal deterioration by separating in-plane displacements and out-of-plane displacements from motion vector field images using a monocular camera.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/ISSN.2470-1173.2016.21.3DIPM-410
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Hiroshi Imai, Masahiko Ohta, Kazuhito Murata, "Structural internal deterioration detection with motion vector field image analysis using monocular camera"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: 3D Image Processing, Measurement (3DIPM), and Applications,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.21.3DIPM-410

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
10.2352/ISSN.2470-1173.2016.21.3DIPM-410
2470-1173(20160214)2016:21L.1;1-
s21.phd
/ist/ei/2016/00002016/00000021/art00021
3D Industrial Applications
Structural internal deterioration detection with motion vector field image analysis using monocular camera
ImaiHiroshi
OhtaMasahiko
MurataKazuhito
14022016
2016
21
3DIPM-410.1
3DIPM-410.6
2016
This paper describes a non-contact structural internal deterioration measurement method. The method can detect the internal deterioration by separating in-plane displacements and out-of-plane displacements from motion vector field images using a monocular camera.