{"id":"https://openalex.org/W2165576258","doi":"https://doi.org/10.1109/tdpvt.2002.1024052","title":"A tensor voting approach for the hierarchical segmentation of 3-D acoustic images","display_name":"A tensor voting approach for the hierarchical segmentation of 3-D acoustic images","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2165576258","doi":"https://doi.org/10.1109/tdpvt.2002.1024052","mag":"2165576258"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2002.1024052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2002.1024052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission","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/A5010999791","display_name":"Louis Tao","orcid":"https://orcid.org/0000-0003-1802-2438"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"L. Tao","raw_affiliation_strings":["Dipartimento di Informatica, University of Verona, Verona, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, University of Verona, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007242502","display_name":"Vittorio Murino","orcid":"https://orcid.org/0000-0002-8645-2328"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Murino","raw_affiliation_strings":["Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006918685","display_name":"G\u00e9rard Medioni","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Medioni","raw_affiliation_strings":["Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010999791"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.18066809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.984000027179718,"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/salient","display_name":"Salient","score":0.7579571008682251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670383870601654},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6055061221122742},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5934519171714783},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5868324637413025},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5414623618125916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5152192711830139},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48069268465042114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47630131244659424},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4575270116329193},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4564201831817627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4380037784576416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32950612902641296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19375014305114746}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7579571008682251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670383870601654},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6055061221122742},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5934519171714783},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5868324637413025},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5414623618125916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152192711830139},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48069268465042114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47630131244659424},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4575270116329193},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4564201831817627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4380037784576416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32950612902641296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19375014305114746},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":1,"locations":[{"id":"doi:10.1109/tdpvt.2002.1024052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2002.1024052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.75,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1507028917","https://openalex.org/W1517622784","https://openalex.org/W1558579199","https://openalex.org/W1597739853","https://openalex.org/W1659945791","https://openalex.org/W2013438196","https://openalex.org/W2025724925","https://openalex.org/W2027595511","https://openalex.org/W2036835491","https://openalex.org/W2080716680","https://openalex.org/W2109391352","https://openalex.org/W2120777512","https://openalex.org/W2135271508","https://openalex.org/W2147416262","https://openalex.org/W2168265940","https://openalex.org/W2326588846","https://openalex.org/W2517533223","https://openalex.org/W6635917775","https://openalex.org/W6659392808","https://openalex.org/W6828824802"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W3006513224","https://openalex.org/W2053783616","https://openalex.org/W2545348020"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,28],"hierarchical":[3],"and":[4,12,66,81],"robust":[5,95],"algorithm":[6,19],"addressing":[7],"the":[8,23,33,49,53,79,82,97],"problem":[9],"of":[10,14,35,48,56,85],"filtering":[11],"segmentation":[13],"three-dimensional":[15],"acoustic":[16,57],"images.":[17],"This":[18],"is":[20,59],"based":[21],"on.":[22],"tensor":[24],"voting":[25],"approach":[26],"-":[27],"unified":[29],"computational":[30,99],"framework":[31],"for":[32],"inference":[34],"multiple":[36],"salient":[37],"structures.":[38],"Unlike":[39],"most":[40],"previous":[41],"approaches,":[42],"no":[43],"models":[44],"or":[45],"prior":[46],"information":[47,55,84],"underwater":[50],"environment,":[51],"nor":[52],"intensity":[54],"images":[58],"considered":[60],"in":[61,73],"this":[62],"algorithm.":[63],"Salient":[64],"structures":[65],"outlier":[67],"noisy":[68],"points":[69],"are":[70],"directly":[71],"clustered":[72],"two":[74],"steps":[75],"according":[76],"to":[77],"both":[78],"density":[80],"structural":[83],"input":[86],"data.":[87],"Our":[88],"experimental":[89],"trials":[90],"show":[91],"promising":[92],"results,":[93],"very":[94],"despite":[96],"low":[98],"complexity.":[100]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}