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Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views

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dc.contributor.authorKleinkort, Cameron, author
dc.contributor.authorNotaros, Branislav, advisor
dc.contributor.authorBringi, V. N., committee member
dc.contributor.authorRutledge, Steven, committee member
dc.contributor.authorPezeshki, Ali, committee member
dc.date.accessioned2016-08-18T23:10:15Z
dc.date.available2018-08-17T06:30:24Z
dc.date.issued2016
dc.description.abstractProposed and presented is a visual hull method and technique for reconstruction of realistic 3D shapes of snowflakes and other hydrometeors based on high-resolution photographs of particles in freefall from multiple views captured by a multi-angle snowflake camera (MASC), or another similar instrument. The visual hull of an object is the maximal domain that gives the same silhouettes as the object from a certain set of viewpoints. From the measured fall speed and the particle shape reconstruction, the particle density and dielectric constant are estimated. This is the first time accurate realistic shape reconstructions based on high-resolution photographs of real (measured) snowflakes are performed. The results are clearly much better than any similar data in the literature. They demonstrate – in experiments involved in real snow storm observations and those with simulated and fake 3D printed snowflakes – sufficient silhouette information from the five cameras of the expanded MASC system and excellent performance of the implemented mechanical calibration and software self-calibration of the system. In addition to enabling realistic "particle-by-particle" computations of polarimetric radar measurables for winter precipitation, the visual hull 3D shape reconstructions of hydrometeors can be used for microphysical characteristics analyses, hydrometeor classification, and improvement of radar-based estimations of liquid equivalent snow rates.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierKleinkort_colostate_0053N_13704.pdf
dc.identifier.urihttp://hdl.handle.net/10217/176670
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectcomputational electromagnetics
dc.subjectsnowflakes
dc.subjectvisual hull
dc.subjectradar
dc.subject3D reconstruction
dc.subjectsnow microphysics
dc.titleVisual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views
dc.typeText
dcterms.embargo.expires2018-08-17
dcterms.embargo.terms2018-08-17
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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