{"id":"https://openalex.org/W2183589061","doi":"https://doi.org/10.1145/1873951.1873961","title":"Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours","display_name":"Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W2183589061","doi":"https://doi.org/10.1145/1873951.1873961","mag":"2183589061"},"language":"en","primary_location":{"id":"doi:10.1145/1873951.1873961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1873961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059525147","display_name":"Sang Min Yoon","orcid":"https://orcid.org/0000-0003-0001-1845"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sang Min Yoon","raw_affiliation_strings":["TU Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031867263","display_name":"Maximilian Scherer","orcid":"https://orcid.org/0000-0002-5280-2828"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Scherer","raw_affiliation_strings":["TU Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016219620","display_name":"Tobias Schreck","orcid":"https://orcid.org/0000-0003-0778-8665"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Schreck","raw_affiliation_strings":["TU Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046597105","display_name":"Arjan Kuijper","orcid":"https://orcid.org/0000-0002-6413-0061"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arjan Kuijper","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059525147"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":9.5614,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98502701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.888827919960022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804161310195923},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6337231397628784},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5700945854187012},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5610724687576294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544833779335022},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5335975289344788},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5115926861763},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47572019696235657},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45005062222480774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4296322166919708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35342079401016235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2507306933403015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13259699940681458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1324785053730011}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.888827919960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804161310195923},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6337231397628784},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5700945854187012},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5610724687576294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544833779335022},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5335975289344788},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5115926861763},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47572019696235657},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45005062222480774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4296322166919708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35342079401016235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2507306933403015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13259699940681458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1324785053730011},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1873951.1873961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1873961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-151664","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-151664.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"Conference Paper"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/18549","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-185492","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the international conference on Multimedia - MM '10. - New York, New York, USA : ACM Press, 2010. - S. 193-200. - ISBN 978-1-60558-933-6","raw_type":"doc-type:conferenceObject"},{"id":"pmh:oai:publica.fraunhofer.de:publica/368198","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/368198","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W25747395","https://openalex.org/W31034633","https://openalex.org/W611401390","https://openalex.org/W1491940218","https://openalex.org/W1561952261","https://openalex.org/W1593151701","https://openalex.org/W1729894396","https://openalex.org/W1964802316","https://openalex.org/W2021122545","https://openalex.org/W2023056405","https://openalex.org/W2036602712","https://openalex.org/W2045598453","https://openalex.org/W2047176197","https://openalex.org/W2075597533","https://openalex.org/W2082472820","https://openalex.org/W2093489215","https://openalex.org/W2099606917","https://openalex.org/W2106404777","https://openalex.org/W2111378409","https://openalex.org/W2127928557","https://openalex.org/W2134601920","https://openalex.org/W2139740143","https://openalex.org/W2143360038","https://openalex.org/W2148843387","https://openalex.org/W2158038387","https://openalex.org/W2161141071","https://openalex.org/W2161969291","https://openalex.org/W2162040411","https://openalex.org/W2167407098","https://openalex.org/W2187250581","https://openalex.org/W2529216001","https://openalex.org/W2601530120","https://openalex.org/W2618176478","https://openalex.org/W2750727344","https://openalex.org/W3000113330","https://openalex.org/W4241307704"],"related_works":["https://openalex.org/W2500982737","https://openalex.org/W2305650600","https://openalex.org/W2106795979","https://openalex.org/W2551466753","https://openalex.org/W3097853387","https://openalex.org/W1926504679","https://openalex.org/W2144467850","https://openalex.org/W4298852638","https://openalex.org/W2353314619","https://openalex.org/W2399159263"],"abstract_inverted_index":{"The":[0],"number":[1],"of":[2,58,84,124,130,143],"available":[3],"3D":[4,17,38,115,148],"models":[5,18,52,99],"in":[6],"various":[7],"areas":[8],"increases":[9],"steadily.":[10],"Effective":[11],"methods":[12],"to":[13,47,69,96],"search":[14],"for":[15,35,146],"those":[16],"by":[19,41,79],"content,":[20],"rather":[21],"than":[22],"textual":[23],"annotations":[24],"are":[25,137],"crucial.":[26],"For":[27],"this":[28],"purpose,":[29],"we":[30],"propose":[31],"a":[32,54,107],"new":[33],"approach":[34,46,145],"content":[36],"based":[37,114],"model":[39,108,116,149],"retrieval":[40,117],"hand-drawn":[42],"sketch":[43,91,113],"images.":[44],"This":[45],"retrieve":[48,97],"visually":[49],"similar":[50],"mesh":[51],"from":[53,66,105],"large":[55],"database":[56],"consists":[57],"three":[59],"major":[60],"steps:":[61],"(1)":[62],"suggestive":[63,85],"contour":[64,86],"renderings":[65],"different":[67],"viewpoints":[68],"compare":[70],"against":[71,122],"the":[72,89,98,101,131,141],"user":[73,132],"drawn":[74,133],"sketches;":[75],"(2)":[76],"descriptor":[77],"computation":[78],"analyzing":[80],"diffusion":[81],"tensor":[82],"fields":[83],"images,":[87],"or":[88,127],"query":[90],"respectively;":[92],"(3)":[93],"similarity":[94],"measurement":[95],"and":[100,139],"most":[102],"probable":[103],"view-point":[104],"which":[106],"was":[109],"sketched.":[110],"Our":[111],"proposed":[112],"system":[118],"is":[119],"very":[120],"robust":[121],"variations":[123],"shape,":[125],"pose":[126],"partial":[128],"occlusion":[129],"sketches.":[134],"Experimental":[135],"results":[136],"presented":[138],"indicate":[140],"effectiveness":[142],"our":[144],"sketch-based":[147],"retrieval.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
