{"id":"https://openalex.org/W2513547555","doi":"https://doi.org/10.1109/icme.2016.7552991","title":"Approximate convex decomposition for 2D shapes based on visibility range","display_name":"Approximate convex decomposition for 2D shapes based on visibility range","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2513547555","doi":"https://doi.org/10.1109/icme.2016.7552991","mag":"2513547555"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100730072","display_name":"Zhiyang Li","orcid":"https://orcid.org/0000-0002-5396-3447"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyang Li","raw_affiliation_strings":["Dalian Maritime University, China"],"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041346888","display_name":"Wenyu Qu","orcid":"https://orcid.org/0000-0003-4817-5187"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Qu","raw_affiliation_strings":["Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087744818","display_name":"Heng Qi","orcid":"https://orcid.org/0000-0002-8770-3934"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Qi","raw_affiliation_strings":["Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080364797","display_name":"Milo\u0161 Stojmenovi\u0107","orcid":"https://orcid.org/0000-0001-6279-2988"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milos Stojmenovic","raw_affiliation_strings":["Singidunum University, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100730072"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.304,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60924302,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9975000023841858,"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":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/T12923","display_name":"Digital Image Processing Techniques","score":0.9955000281333923,"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/visibility","display_name":"Visibility","score":0.761333703994751},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.6316502094268799},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.5614395141601562},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5604483485221863},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5471717715263367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48015350103378296},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.4160971939563751},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4122604727745056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3970029354095459},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36496788263320923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34432846307754517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3376173973083496},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.3206883370876312},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3045569062232971},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19589737057685852},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12370046973228455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08216303586959839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0768812894821167}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.761333703994751},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.6316502094268799},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.5614395141601562},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5604483485221863},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5471717715263367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48015350103378296},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.4160971939563751},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4122604727745056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3970029354095459},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36496788263320923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34432846307754517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3376173973083496},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.3206883370876312},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3045569062232971},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19589737057685852},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12370046973228455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08216303586959839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0768812894821167},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1501418839","https://openalex.org/W1589666435","https://openalex.org/W2004686460","https://openalex.org/W2045868221","https://openalex.org/W2061626909","https://openalex.org/W2065036726","https://openalex.org/W2106404777","https://openalex.org/W2107441639","https://openalex.org/W2116680905","https://openalex.org/W2143355609","https://openalex.org/W2165414070","https://openalex.org/W2202245204"],"related_works":["https://openalex.org/W2080858045","https://openalex.org/W2391091101","https://openalex.org/W2040676043","https://openalex.org/W4256242347","https://openalex.org/W2023364171","https://openalex.org/W2927183251","https://openalex.org/W2358534542","https://openalex.org/W2765710841","https://openalex.org/W2773579515","https://openalex.org/W3099167349"],"abstract_inverted_index":{"Organizing":[0],"shapes":[1,30,180],"by":[2],"convex":[3,120],"parts":[4],"is":[5,15,43,71,84,131,154,158,192],"a":[6,35,45,48,55,63,66,78,97,123,147,161,171],"fundamental":[7],"procedure":[8],"for":[9,47,111],"many":[10],"shape-related":[11],"applications.":[12],"However,":[13],"convexity":[14],"sensitive":[16],"to":[17,73,134],"noise":[18],"and":[19,50,116,195],"shape":[20,56,101,151],"variations.":[21],"Recent":[22],"publications":[23],"in":[24,103,113,119,170],"the":[25,75,137,189,198],"field":[26],"concentrated":[27],"on":[28,88,128,179,202],"decomposing":[29],"into":[31],"near-convex":[32,185],"parts.":[33],"Although":[34],"variety":[36],"of":[37,163,184],"methods":[38,200],"have":[39,176],"been":[40,177],"presented,":[41],"there":[42],"still":[44],"need":[46],"robust":[49,194],"versatile":[51],"method,":[52],"especially":[53],"when":[54],"possesses":[57],"long":[58,67,141],"curved":[59,68,142],"branches":[60,143],"such":[61],"as":[62,77,160],"lizard":[64],"with":[65,166,181],"tail.":[69],"It":[70],"difficult":[72],"capture":[74],"tail":[76],"whole":[79],"part":[80],"because":[81],"its":[82],"concavity":[83,125],"too":[85],"high":[86,117],"based":[87,127,201],"classic":[89],"measures.":[90],"To":[91],"address":[92],"this":[93,104],"issue,":[94],"we":[95],"propose":[96],"`Visibility":[98],"Range',":[99],"novel":[100,124,138],"signature":[102],"paper.":[105],"Visibility":[106],"range":[107,130,169],"reaches":[108],"low":[109],"values":[110,118],"points":[112,165],"concave":[114],"regions":[115],"regions.":[121],"Moreover,":[122],"measure":[126,139],"visibility":[129,168,172],"presented.":[132],"Compared":[133],"previous":[135],"measures,":[136],"describes":[140],"better.":[144],"With":[145],"these,":[146],"simple":[148],"but":[149],"effective":[150,196],"decomposition":[152,157],"algorithm":[153],"designed.":[155],"The":[156],"formulated":[159],"problem":[162],"detecting":[164],"extreme":[167],"matrix.":[173],"Extensive":[174],"experiments":[175],"done":[178],"various":[182],"kinds":[183],"parts,":[186],"demonstrating":[187],"that":[188],"proposed":[190],"method":[191],"more":[193],"than":[197],"state-of-art":[199],"other":[203],"concave-convex":[204],"features.":[205]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}