4D Reconstruction of Blooming Flowers

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:787b32947e36be9ec1e3aee24baa0fde

ZHENG, Qian, Xiaochen FAN, Minglun GONG, Andrei SHARF, Oliver DEUSSEN, Hui HUANG, 2017. 4D Reconstruction of Blooming Flowers. In: Computer Graphics Forum. 36(6), pp. 405-417. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12989

@article{Zheng2017-09Recon-35895, title={4D Reconstruction of Blooming Flowers}, year={2017}, doi={10.1111/cgf.12989}, number={6}, volume={36}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={405--417}, author={Zheng, Qian and Fan, Xiaochen and Gong, Minglun and Sharf, Andrei and Deussen, Oliver and Huang, Hui} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/35895"> <dc:creator>Zheng, Qian</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/35895"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Fan, Xiaochen</dc:creator> <dc:contributor>Deussen, Oliver</dc:contributor> <dcterms:issued>2017-09</dcterms:issued> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:language>eng</dc:language> <dc:creator>Huang, Hui</dc:creator> <dc:contributor>Zheng, Qian</dc:contributor> <dcterms:title>4D Reconstruction of Blooming Flowers</dcterms:title> <dc:creator>Sharf, Andrei</dc:creator> <dc:contributor>Gong, Minglun</dc:contributor> <dc:contributor>Sharf, Andrei</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <dc:contributor>Fan, Xiaochen</dc:contributor> <dc:creator>Gong, Minglun</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-11T15:04:24Z</dc:date> <dc:contributor>Huang, Hui</dc:contributor> <dcterms:abstract xml:lang="eng">Flower blooming is a beautiful phenomenon in nature as flowers open in an intricate and complex manner whereas petals bend, stretch and twist under various deformations. Flower petals are typically thin structures arranged in tight configurations with heavy self-occlusions. Thus, capturing and reconstructing spatially and temporally coherent sequences of blooming flowers is highly challenging. Early in the process only exterior petals are visible and thus interior parts will be completely missing in the captured data. Utilizing commercially available 3D scanners, we capture the visible parts of blooming flowers into a sequence of 3D point clouds. We reconstruct the flower geometry and deformation over time using a template-based dynamic tracking algorithm. To track and model interior petals hidden in early stages of the blooming process, we employ an adaptively constrained optimization. Flower characteristics are exploited to track petals both forward and backward in time. Our methods allow us to faithfully reconstruct the flower blooming process of different species. In addition, we provide comparisons with state-of-the-art physical simulation-based approaches and evaluate our approach by using photos of captured real flowers.</dcterms:abstract> <dc:creator>Deussen, Oliver</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-11-11T15:04:24Z</dcterms:available> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto