Volume estimation of small particles using three-dimensional reconstruction from multiple views

Eduardo Castillo-Castaneda; Christelle Turchiuli

doi:10.1007/978-3-540-69905-7_25

Volume estimation of small particles using three-dimensional reconstruction from multiple views

Eduardo Castillo-Castaneda, Christelle Turchiuli

Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada (CICATA), Unidad Querétaro

Research output: Contribution to journal › Conference article › peer-review

14 Scopus citations

Abstract

This work presents a methodology and experimental results about the three dimensional reconstruction of small objects from an image sequence. The three dimensional model obtained from this methodology allows the volume estimation of particles less than 1 mm. More precisely, the particles studied were generated by an agglomeration process from milk powder. To validate this methodology, a mechanical device with six degrees of freedom was built; it allows the montage of the image acquisition system as well as the turning system that rotates the particles. The algorithm for image processing and volume estimation was implemented using a high level language.

Original language	English
Pages (from-to)	218-225
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5099 LNCS
DOIs	https://doi.org/10.1007/978-3-540-69905-7_25
State	Published - 2008
Event	3rd International Conference on Image and Signal Processing, ICISP 2008 - Cherbourg-Octeville, France Duration: 1 Jul 2008 → 3 Jul 2008

Keywords

Multiple views
Three-dimensional reconstruction
Volume estimation

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10.1007/978-3-540-69905-7_25

Cite this

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title = "Volume estimation of small particles using three-dimensional reconstruction from multiple views",

abstract = "This work presents a methodology and experimental results about the three dimensional reconstruction of small objects from an image sequence. The three dimensional model obtained from this methodology allows the volume estimation of particles less than 1 mm. More precisely, the particles studied were generated by an agglomeration process from milk powder. To validate this methodology, a mechanical device with six degrees of freedom was built; it allows the montage of the image acquisition system as well as the turning system that rotates the particles. The algorithm for image processing and volume estimation was implemented using a high level language.",

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Volume estimation of small particles using three-dimensional reconstruction from multiple views. / Castillo-Castaneda, Eduardo; Turchiuli, Christelle.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5099 LNCS, 2008, p. 218-225.

Research output: Contribution to journal › Conference article › peer-review

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AU - Turchiuli, Christelle

PY - 2008

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N2 - This work presents a methodology and experimental results about the three dimensional reconstruction of small objects from an image sequence. The three dimensional model obtained from this methodology allows the volume estimation of particles less than 1 mm. More precisely, the particles studied were generated by an agglomeration process from milk powder. To validate this methodology, a mechanical device with six degrees of freedom was built; it allows the montage of the image acquisition system as well as the turning system that rotates the particles. The algorithm for image processing and volume estimation was implemented using a high level language.

AB - This work presents a methodology and experimental results about the three dimensional reconstruction of small objects from an image sequence. The three dimensional model obtained from this methodology allows the volume estimation of particles less than 1 mm. More precisely, the particles studied were generated by an agglomeration process from milk powder. To validate this methodology, a mechanical device with six degrees of freedom was built; it allows the montage of the image acquisition system as well as the turning system that rotates the particles. The algorithm for image processing and volume estimation was implemented using a high level language.

KW - Multiple views

KW - Three-dimensional reconstruction

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - 3rd International Conference on Image and Signal Processing, ICISP 2008

Y2 - 1 July 2008 through 3 July 2008

ER -

Volume estimation of small particles using three-dimensional reconstruction from multiple views

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Keywords

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