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Treffer: Monitoring and measurement of movement of objects by fringe projection method

Title:
Monitoring and measurement of movement of objects by fringe projection method
Source:
Three-dimensional image capture and applications III (San Jose CA, 24-25 January 2000)SPIE proceedings series. :116-125
Publisher Information:
Bellingham WA: SPIE, 2000.
Publication Year:
2000
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Chodkiewicza St., 02-525 Warsaw, Poland
Rights:
Copyright 2000 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.1379136
Database:
PASCAL Archive

Weitere Informationen

The methodologies and tools used recently in animation are presented and their most significant problems connected with combining real and virtual world are recognised. It includes creating of computer graphics libraries of realistic 3D objects and describing the models of animation in 3D space. The presented measurement methodology simplifies the process of generation of virtual objects and gives as the result: shape and movement description of the monitored object. Optical structured light methods are proposed for gathering the information about a shape, deformations of the shape and shifts of 3D objects. Authors apply the spatio-temporal approach, in which the spatial analysis of fringe pattern delivers information about initial shape of the object, while the temporal analysis of intensity variation 1(t) in the given pixel provides information about out-of plane displacement. I(t) is analysed alternatively by adaptive sinusoidal fitting algorithm or by Fourier transform based methods. The comparison between these methods is given and exemplary measurements are presented.