{"id":"https://openalex.org/W2106407231","doi":"https://doi.org/10.1109/cvprw.2008.4562962","title":"Efficient Tensor Voting with 3D tensorial harmonics","display_name":"Efficient Tensor Voting with 3D tensorial harmonics","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2106407231","doi":"https://doi.org/10.1109/cvprw.2008.4562962","mag":"2106407231"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4562962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4562962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5064325044","display_name":"Marco Reisert","orcid":"https://orcid.org/0000-0003-2742-1940"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marco Reisert","raw_affiliation_strings":["Albert Ludwig University, Freiburg im Breisgau, Germany","Albert Ludwig Univ. Georges, Freiburg"],"affiliations":[{"raw_affiliation_string":"Albert Ludwig University, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Albert Ludwig Univ. Georges, Freiburg","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110093861","display_name":"Hans Burkhardt","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans Burkhardt","raw_affiliation_strings":["Albert Ludwig University, Freiburg im Breisgau, Germany","Albert Ludwig Univ. Georges, Freiburg"],"affiliations":[{"raw_affiliation_string":"Albert Ludwig University, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Albert Ludwig Univ. Georges, Freiburg","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064325044"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":3.1924,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92337888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"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/robustness","display_name":"Robustness (evolution)","score":0.7745157480239868},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.741533637046814},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6822819113731384},{"id":"https://openalex.org/keywords/harmonics","display_name":"Harmonics","score":0.6746665835380554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623025298118591},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5439188480377197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4783163368701935},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.4672415554523468},{"id":"https://openalex.org/keywords/tensor-operator","display_name":"Tensor operator","score":0.45311036705970764},{"id":"https://openalex.org/keywords/zonal-spherical-harmonics","display_name":"Zonal spherical harmonics","score":0.4161129593849182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3179166316986084},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.16714218258857727},{"id":"https://openalex.org/keywords/vector-spherical-harmonics","display_name":"Vector spherical harmonics","score":0.15261530876159668},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13527992367744446},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10131895542144775}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7745157480239868},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.741533637046814},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6822819113731384},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.6746665835380554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623025298118591},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5439188480377197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4783163368701935},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.4672415554523468},{"id":"https://openalex.org/C126412783","wikidata":"https://www.wikidata.org/wiki/Q15104431","display_name":"Tensor operator","level":3,"score":0.45311036705970764},{"id":"https://openalex.org/C39176672","wikidata":"https://www.wikidata.org/wiki/Q8073864","display_name":"Zonal spherical harmonics","level":4,"score":0.4161129593849182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3179166316986084},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.16714218258857727},{"id":"https://openalex.org/C77237485","wikidata":"https://www.wikidata.org/wiki/Q7917842","display_name":"Vector spherical harmonics","level":3,"score":0.15261530876159668},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13527992367744446},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10131895542144775},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvprw.2008.4562962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4562962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.789","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lmb.informatik.uni-freiburg.de/people/reisert/pubs/SteerableTV_techrep.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.1151","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.1151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W4363625","https://openalex.org/W972254100","https://openalex.org/W1662548571","https://openalex.org/W1991605728","https://openalex.org/W2006215348","https://openalex.org/W2039457516","https://openalex.org/W2119381501","https://openalex.org/W2140178321","https://openalex.org/W2140966579","https://openalex.org/W2163959910","https://openalex.org/W2563709626","https://openalex.org/W2563964832","https://openalex.org/W2801179766","https://openalex.org/W4285719527","https://openalex.org/W4300223101","https://openalex.org/W6684195641"],"related_works":["https://openalex.org/W4313065247","https://openalex.org/W2103011624","https://openalex.org/W1972009849","https://openalex.org/W2379042074","https://openalex.org/W4243714467","https://openalex.org/W4312842820","https://openalex.org/W2083807145","https://openalex.org/W1981560313","https://openalex.org/W2070667795","https://openalex.org/W2060170052"],"abstract_inverted_index":{"Tensor":[0],"voting":[1,36,75],"is":[2,68],"a":[3],"robust":[4],"technique":[5],"to":[6,70],"extract":[7],"low-level":[8],"features":[9],"in":[10,22,37,54,80],"noisy":[11],"images.":[12],"The":[13],"approach":[14],"achieves":[15],"its":[16],"robustness":[17],"by":[18,76],"exploiting":[19],"coherent":[20],"orientations":[21],"local":[23],"neighborhoods.":[24],"In":[25,64],"this":[26,65],"paper":[27],"we":[28,46],"propose":[29,47],"an":[30,81],"efficient":[31,82],"algorithm":[32],"for":[33],"dense":[34],"tensor":[35,52,74],"3D":[38],"which":[39,59],"makes":[40],"use":[41],"of":[42,50,56,78],"steerable":[43,48],"filters.":[44],"Therefore,":[45],"expansions":[49],"spherical":[51],"fields":[53],"terms":[55],"tensorial":[57],"harmonics,":[58],"are":[60],"their":[61],"canonical":[62],"representation.":[63],"way":[66],"it":[67],"possible":[69],"perform":[71],"arbitrary":[72],"rank":[73],"linear-combinations":[77],"convolutions":[79],"way.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}