{"id":"https://openalex.org/W2027597576","doi":"https://doi.org/10.1109/icarcv.2014.7064275","title":"Autonomous object level segmentation","display_name":"Autonomous object level segmentation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2027597576","doi":"https://doi.org/10.1109/icarcv.2014.7064275","mag":"2027597576"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5026848789","display_name":"Shenghai Yuan","orcid":"https://orcid.org/0009-0003-1887-6342"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shenghai Yuan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452641","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-5448-9903"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026848789"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.09781799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.996399998664856,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8326854109764099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7712631225585938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7656539082527161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.680999219417572},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6789348721504211},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6547793745994568},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6101919412612915},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6076570153236389},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5922974944114685},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5584097504615784},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5582672357559204},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.37393611669540405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08812066912651062}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8326854109764099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7712631225585938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656539082527161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.680999219417572},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6789348721504211},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6547793745994568},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6101919412612915},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6076570153236389},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5922974944114685},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5584097504615784},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5582672357559204},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.37393611669540405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08812066912651062},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1999478155","https://openalex.org/W2101744728","https://openalex.org/W2124260943","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2134839354","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"In":[0,100],"this":[1,101],"paper":[2],"we":[3,103],"describe":[4],"a":[5,105,130],"new":[6,131],"technique":[7],"for":[8,112,134],"segment":[9,86],"meaningfully":[10],"objects":[11],"autonomously.":[12,126],"Traditional":[13],"segmentation":[14,21,44,96,114,138],"scheme":[15,97,115,133],"tries":[16],"to":[17,50,66,69,83,108],"find":[18,109],"the":[19,51,59,94,113],"best":[20],"result":[22,45],"at":[23],"some":[24],"trade":[25],"off":[26],"between":[27],"level":[28,33,123],"of":[29,34,58,93],"user":[30,39,76],"input":[31,40,77,119],"and":[32,120],"meaningful":[35],"segmentation.":[36],"Segmentation":[37],"with":[38],"will":[41],"ensure":[42],"better":[43],"but":[46],"is":[47,98],"not":[48],"applicable":[49],"realtime":[52],"autonomous":[53,95,137],"robotics":[54,135],"system.":[55],"For":[56],"most":[57],"commercial":[60],"software":[61],"users,":[62],"they":[63,72],"prefer":[64],"program":[65],"know":[67],"where":[68],"segmented":[70],"before":[71],"even":[73],"touches.":[74],"No":[75],"usually":[78],"means":[79],"that":[80],"system":[81],"tends":[82],"either":[84],"over":[85],"or":[87],"wrongly":[88],"segmented.":[89],"Also":[90],"tuning":[91],"parameters":[92],"painful.":[99],"paper,":[102],"propose":[104],"novel":[106],"idea":[107],"initial":[110],"seed":[111],"which":[116],"need":[117],"manual":[118],"product":[121],"object":[122],"segments":[124],"fully":[125],"We":[127],"also":[128],"proposed":[129],"evaluation":[132],"based":[136],"measurement.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}