{"id":"https://openalex.org/W4220784415","doi":"https://doi.org/10.1109/tvcg.2022.3161962","title":"Robustly Extracting Concise 3D Curve Skeletons by Enhancing the Capture of Prominent Features","display_name":"Robustly Extracting Concise 3D Curve Skeletons by Enhancing the Capture of Prominent Features","publication_year":2022,"publication_date":"2022-03-24","ids":{"openalex":"https://openalex.org/W4220784415","doi":"https://doi.org/10.1109/tvcg.2022.3161962","pmid":"https://pubmed.ncbi.nlm.nih.gov/35324442"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2022.3161962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3161962","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036221939","display_name":"Yiyao Chu","orcid":"https://orcid.org/0000-0003-1675-0490"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyao Chu","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese University of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1675-0490","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese University of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603825","display_name":"Wencheng Wang","orcid":"https://orcid.org/0000-0001-5094-4606"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencheng Wang","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese University of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5094-4606","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese University of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101721992","display_name":"Lei Li","orcid":"https://orcid.org/0000-0002-0612-312X"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["SenseTime Research, China"],"raw_orcid":"https://orcid.org/0000-0002-0612-312X","affiliations":[{"raw_affiliation_string":"SenseTime Research, China","institution_ids":["https://openalex.org/I4210128910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036221939"],"corresponding_institution_ids":["https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":0.3321,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.48198034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"8","first_page":"3472","last_page":"3488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7954777479171753},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7657889127731323},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6917892098426819},{"id":"https://openalex.org/keywords/topological-skeleton","display_name":"Topological skeleton","score":0.6882920861244202},{"id":"https://openalex.org/keywords/medial-axis","display_name":"Medial axis","score":0.6369621753692627},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6353925466537476},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6205416917800903},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.5581849217414856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5516928434371948},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4446325898170471},{"id":"https://openalex.org/keywords/skeletonization","display_name":"Skeletonization","score":0.43513229489326477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4229917526245117},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4206704795360565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4077736735343933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35844671726226807},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3508067727088928},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.2052132785320282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17143473029136658},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15833374857902527},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.15584397315979004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954777479171753},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7657889127731323},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6917892098426819},{"id":"https://openalex.org/C112785775","wikidata":"https://www.wikidata.org/wiki/Q786441","display_name":"Topological skeleton","level":4,"score":0.6882920861244202},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.6369621753692627},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6353925466537476},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6205416917800903},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.5581849217414856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5516928434371948},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4446325898170471},{"id":"https://openalex.org/C23951316","wikidata":"https://www.wikidata.org/wiki/Q1984140","display_name":"Skeletonization","level":2,"score":0.43513229489326477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4229917526245117},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4206704795360565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4077736735343933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35844671726226807},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3508067727088928},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.2052132785320282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17143473029136658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15833374857902527},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.15584397315979004},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2022.3161962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3161962","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:35324442","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35324442","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1955879317","display_name":null,"funder_award_id":"62072446","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W77022496","https://openalex.org/W1515923768","https://openalex.org/W1557666268","https://openalex.org/W1826313674","https://openalex.org/W1863019298","https://openalex.org/W1963962785","https://openalex.org/W1975982864","https://openalex.org/W1977276706","https://openalex.org/W1980278852","https://openalex.org/W1981875488","https://openalex.org/W1986218493","https://openalex.org/W1988200254","https://openalex.org/W1992855374","https://openalex.org/W2005685712","https://openalex.org/W2020065037","https://openalex.org/W2021563983","https://openalex.org/W2036322673","https://openalex.org/W2045331793","https://openalex.org/W2080751646","https://openalex.org/W2101685564","https://openalex.org/W2104893338","https://openalex.org/W2107257130","https://openalex.org/W2115920764","https://openalex.org/W2118802473","https://openalex.org/W2120132970","https://openalex.org/W2121040546","https://openalex.org/W2126361698","https://openalex.org/W2132131517","https://openalex.org/W2137217188","https://openalex.org/W2143931888","https://openalex.org/W2144008209","https://openalex.org/W2155489596","https://openalex.org/W2160744602","https://openalex.org/W2165826219","https://openalex.org/W2234155815","https://openalex.org/W2235901111","https://openalex.org/W2269935213","https://openalex.org/W2270381286","https://openalex.org/W2339234205","https://openalex.org/W2468102300","https://openalex.org/W2516421667","https://openalex.org/W2613878408","https://openalex.org/W2798644314","https://openalex.org/W2809774165","https://openalex.org/W2898450393","https://openalex.org/W2912317155","https://openalex.org/W2921463503","https://openalex.org/W2929245070","https://openalex.org/W2963942118","https://openalex.org/W2982419973","https://openalex.org/W2989058043","https://openalex.org/W2990673575","https://openalex.org/W3025281718","https://openalex.org/W3048496284","https://openalex.org/W3081271041","https://openalex.org/W3122282950","https://openalex.org/W3159914786","https://openalex.org/W4318470515","https://openalex.org/W6678087967","https://openalex.org/W6680392272","https://openalex.org/W6689425216","https://openalex.org/W6794937971"],"related_works":["https://openalex.org/W2001655492","https://openalex.org/W2121343048","https://openalex.org/W1560915534","https://openalex.org/W2184461801","https://openalex.org/W2051842524","https://openalex.org/W2119604799","https://openalex.org/W2230468116","https://openalex.org/W1579882339","https://openalex.org/W2053574433","https://openalex.org/W4220784415"],"abstract_inverted_index":{"Extracting":[0],"concise":[1],"3D":[2],"curve":[3,141],"skeletons":[4],"with":[5],"existing":[6],"methods":[7,15],"is":[8,59,128],"still":[9],"a":[10,85,132],"serious":[11],"challenge":[12,38],"as":[13,74,156],"these":[14],"require":[16],"tedious":[17],"parameter":[18],"adjustment":[19],"to":[20,28,97],"suppress":[21],"the":[22,41,54,57,68,72,79,94,108,120,140,148],"influence":[23],"of":[24,43,71,87,110,122,150],"shape":[25,58,73,80,111],"boundary":[26,112],"perturbations":[27,113],"avoid":[29],"spurious":[30],"branches.":[31],"In":[32],"this":[33,37],"paper,":[34],"we":[35,134],"address":[36],"by":[39,53,62,105,158],"enhancing":[40],"capture":[42,98],"prominent":[44,63,99,145],"features":[45,100],"and":[46,92,101,119,137,153],"using":[47],"them":[48,103],"for":[49,90,125],"skeleton":[50,115,126,142],"extraction,":[51],"motivated":[52],"observation":[55],"that":[56],"mainly":[60],"represented":[61],"features.":[64],"Our":[65],"method":[66],"takes":[67],"medial":[69,95],"mesh":[70,96],"input,":[75],"which":[76,106],"can":[77,135],"maintain":[78],"topology":[81],"well.":[82],"We":[83],"develop":[84],"series":[86],"novel":[88],"measures":[89],"simplifying":[91],"contracting":[93],"represent":[102],"concisely,":[104],"means":[107],"influences":[109],"on":[114,144],"extraction":[116,127],"are":[117],"suppressed":[118],"quantity":[121],"data":[123],"needed":[124],"significantly":[129],"reduced.":[130],"As":[131],"result,":[133],"robustly":[136],"concisely":[138],"extract":[139],"based":[143],"features,":[146],"avoiding":[147],"trouble":[149],"tuning":[151],"parameters":[152],"saving":[154],"computations,":[155],"shown":[157],"experimental":[159],"results.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
