{"id":"https://openalex.org/W1965027246","doi":"https://doi.org/10.1145/2816795.2818075","title":"Autoscanning for coupled scene reconstruction and proactive object analysis","display_name":"Autoscanning for coupled scene reconstruction and proactive object analysis","publication_year":2015,"publication_date":"2015-10-27","ids":{"openalex":"https://openalex.org/W1965027246","doi":"https://doi.org/10.1145/2816795.2818075","mag":"1965027246"},"language":"en","primary_location":{"id":"doi:10.1145/2816795.2818075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2816795.2818075","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5000248352","display_name":"Kai Xu","orcid":"https://orcid.org/0000-0002-9054-0216"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Xu","raw_affiliation_strings":["Shenzhen VisuCA Key Lab / SIAT and National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab / SIAT and National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034304352","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Shenzhen VisuCA Key Lab / SIAT"],"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab / SIAT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103034863","display_name":"Yifei Shi","orcid":"https://orcid.org/0000-0002-0455-9798"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Shi","raw_affiliation_strings":["HPCL, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"HPCL, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348588","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-4019-3420"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Shandong University","Shandong University)"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong University)","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016889301","display_name":"Pinxin Long","orcid":"https://orcid.org/0000-0001-8440-3218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pinxin Long","raw_affiliation_strings":["Shenzhen VisuCA Key Lab / SIAT"],"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab / SIAT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012193114","display_name":"Jianong Caichen","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianong Caichen","raw_affiliation_strings":["National University of Defense Technology and Shenzhen VisuCA Key Lab / SIAT"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology and Shenzhen VisuCA Key Lab / SIAT","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047737468","display_name":"Wei Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Shenzhen VisuCA Key Lab / SIAT"],"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab / SIAT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010714340","display_name":"Baoquan Chen","orcid":"https://orcid.org/0000-0003-4702-036X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Chen","raw_affiliation_strings":["Shandong University","Shandong University)"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong University)","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5000248352"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":250.1055,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99969712,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"6","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7895330190658569},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7826616764068604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799214124679565},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.656013548374176},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6543256640434265},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.544357419013977},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4540948271751404},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.41713932156562805}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7895330190658569},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7826616764068604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799214124679565},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.656013548374176},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6543256640434265},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.544357419013977},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4540948271751404},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.41713932156562805},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2816795.2818075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2816795.2818075","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4831110934","display_name":null,"funder_award_id":"2015A030312015, 2014B050502009, 2014TX01X033","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G5427584257","display_name":null,"funder_award_id":"2015CB352500, 2015CB352501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G840764918","display_name":null,"funder_award_id":"61202333, 61272327, 61232011","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W129683836","https://openalex.org/W1433660490","https://openalex.org/W1509835260","https://openalex.org/W1590837181","https://openalex.org/W1681793215","https://openalex.org/W1716229439","https://openalex.org/W1818727054","https://openalex.org/W1953319329","https://openalex.org/W1984228873","https://openalex.org/W1987648924","https://openalex.org/W1989823960","https://openalex.org/W1990345222","https://openalex.org/W1991187245","https://openalex.org/W1992971572","https://openalex.org/W2000018820","https://openalex.org/W2000760692","https://openalex.org/W2000795044","https://openalex.org/W2006121004","https://openalex.org/W2009422376","https://openalex.org/W2026179794","https://openalex.org/W2031823405","https://openalex.org/W2033483472","https://openalex.org/W2033648651","https://openalex.org/W2049351243","https://openalex.org/W2050204708","https://openalex.org/W2060775765","https://openalex.org/W2065745355","https://openalex.org/W2067912884","https://openalex.org/W2071398263","https://openalex.org/W2071906076","https://openalex.org/W2077263423","https://openalex.org/W2086320398","https://openalex.org/W2097374608","https://openalex.org/W2097696373","https://openalex.org/W2099111195","https://openalex.org/W2100348027","https://openalex.org/W2102402541","https://openalex.org/W2135249503","https://openalex.org/W2152425170","https://openalex.org/W2158001550","https://openalex.org/W2160218441","https://openalex.org/W2160994953","https://openalex.org/W2162559028","https://openalex.org/W2178922201","https://openalex.org/W2245143044","https://openalex.org/W2405422284","https://openalex.org/W2999893964","https://openalex.org/W3009009611","https://openalex.org/W3105463831","https://openalex.org/W3138558418","https://openalex.org/W4292881559","https://openalex.org/W6637636807","https://openalex.org/W6656881570"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2123263858","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W3127959533"],"abstract_inverted_index":{"Detailed":[0],"scanning":[1,13],"of":[2,42,126,162,189,200],"indoor":[3],"scenes":[4],"is":[5,32,203],"tedious":[6],"for":[7,48],"humans.":[8],"We":[9,44,169],"propose":[10,170],"autonomous":[11,27],"scene":[12,30,36,50,55,150,206],"by":[14,69],"a":[15,22,46,58,89,116,123,171,193,204],"robot":[16,94,144],"to":[17,95,174],"relieve":[18],"humans":[19],"from":[20,134],"such":[21,88,176],"laborious":[23],"task.":[24],"In":[25,86],"an":[26,97],"setting,":[28],"detailed":[29],"acquisition":[31],"inevitably":[33],"coupled":[34,52],"with":[35,53,80,151,207],"analysis":[37,74,105,111],"at":[38,158],"the":[39,60,70,93,131,140,143,149,160,187],"required":[40],"level":[41],"detail.":[43],"develop":[45],"framework":[47],"object-level":[49,127,164],"reconstruction":[51,63,183],"object-centric":[54],"analysis.":[56,72],"As":[57],"result,":[59],"autoscanning":[61],"and":[62,106,154,166,182,185,211],"will":[64],"be":[65],"object-aware":[66],",":[67],"guided":[68,107],"object":[71,104,110,209],"The":[73,109,198],"is,":[75],"in":[76],"turn,":[77],"gradually":[78],"improved":[79],"progressively":[81],"increased":[82],"object-wise":[83,167,212],"data":[84],"fidelity.":[85,214],"realizing":[87],"framework,":[90,121],"we":[91],"drive":[92],"execute":[96],"iterative":[98],"analyze-and-validate":[99],"algorithm":[100],"which":[101],"interleaves":[102],"between":[103],"validations.":[108],"incorporates":[112],"online":[113],"learning":[114],"into":[115],"robust":[117],"graph-cut":[118],"based":[119,129,178],"segmentation":[120,128,165,180],"achieving":[122],"global":[124],"update":[125],"on":[130,139,179],"knowledge":[132],"gained":[133],"robot-operated":[135],"local":[136],"validation.":[137],"Based":[138],"current":[141],"analysis,":[142],"performs":[145],"proactive":[146],"validation":[147,190],"over":[148],"physical":[152],"push":[153],"scan":[155],"refinement,":[156],"aiming":[157],"reducing":[159],"uncertainty":[161,177],"both":[163,208],"reconstruction.":[168],"joint":[172],"entropy":[173],"measure":[175],"confidence":[181],"quality,":[184],"formulate":[186],"selection":[188],"actions":[191],"as":[192],"maximum":[194],"information":[195],"gain":[196],"problem.":[197],"output":[199],"our":[201],"system":[202],"reconstructed":[205],"extraction":[210],"geometry":[213]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
