{"id":"https://openalex.org/W3107347315","doi":"https://doi.org/10.3233/faia200770","title":"AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation","display_name":"AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3107347315","doi":"https://doi.org/10.3233/faia200770","mag":"3107347315"},"language":"en","primary_location":{"id":"doi:10.3233/faia200770","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200770","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200770","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200770","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089643007","display_name":"Heiko Engemann","orcid":null},"institutions":[{"id":"https://openalex.org/I137616099","display_name":"Tshwane University of Technology","ror":"https://ror.org/037mrss42","country_code":"ZA","type":"education","lineage":["https://openalex.org/I137616099"]},{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE","ZA"],"is_corresponding":false,"raw_author_name":"Heiko Engemann","raw_affiliation_strings":["FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany","Tshwane University of Technology (TUT), Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany","institution_ids":["https://openalex.org/I99977706"]},{"raw_affiliation_string":"Tshwane University of Technology (TUT), Pretoria, South Africa","institution_ids":["https://openalex.org/I137616099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090656867","display_name":"Shengzhi Du","orcid":"https://orcid.org/0000-0001-5166-1069"},"institutions":[{"id":"https://openalex.org/I137616099","display_name":"Tshwane University of Technology","ror":"https://ror.org/037mrss42","country_code":"ZA","type":"education","lineage":["https://openalex.org/I137616099"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Shengzhi Du","raw_affiliation_strings":["Tshwane University of Technology (TUT), Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Tshwane University of Technology (TUT), Pretoria, South Africa","institution_ids":["https://openalex.org/I137616099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039997225","display_name":"Stephan Kallweit","orcid":null},"institutions":[{"id":"https://openalex.org/I137616099","display_name":"Tshwane University of Technology","ror":"https://ror.org/037mrss42","country_code":"ZA","type":"education","lineage":["https://openalex.org/I137616099"]},{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE","ZA"],"is_corresponding":true,"raw_author_name":"Stephan Kallweit","raw_affiliation_strings":["FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany","Tshwane University of Technology (TUT), Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany","institution_ids":["https://openalex.org/I99977706"]},{"raw_affiliation_string":"Tshwane University of Technology (TUT), Pretoria, South Africa","institution_ids":["https://openalex.org/I137616099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060181031","display_name":"Chuanfang Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Chuanfang Ning","raw_affiliation_strings":["Ecole polytechnique f\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Ecole polytechnique f\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074707979","display_name":"Saqib Anwar","orcid":"https://orcid.org/0000-0003-2657-163X"},"institutions":[{"id":"https://openalex.org/I99977706","display_name":"FH Aachen","ror":"https://ror.org/04tqgg260","country_code":"DE","type":"education","lineage":["https://openalex.org/I99977706"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Saqib Anwar","raw_affiliation_strings":["FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"FH Aachen \u2013 Aachen University of Applied Sciences, Aachen, Germany","institution_ids":["https://openalex.org/I99977706"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039997225"],"corresponding_institution_ids":["https://openalex.org/I137616099","https://openalex.org/I99977706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29416961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"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":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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/T10888","display_name":"Augmented Reality Applications","score":0.98580002784729,"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":0.760107159614563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155683994293213},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5684869289398193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5361945629119873},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5111625790596008},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.46028581261634827},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.45323917269706726},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4462845027446747},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4392244219779968},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43537211418151855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3304319381713867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2619990110397339},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0847054123878479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760107159614563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155683994293213},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5684869289398193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5361945629119873},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5111625790596008},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.46028581261634827},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.45323917269706726},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4462845027446747},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4392244219779968},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43537211418151855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3304319381713867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2619990110397339},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0847054123878479},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200770","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200770","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200770","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200770","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200770","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200770","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107347315.pdf","grobid_xml":"https://content.openalex.org/works/W3107347315.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1505952289","https://openalex.org/W1513100184","https://openalex.org/W1798868054","https://openalex.org/W2065042868","https://openalex.org/W2114968414","https://openalex.org/W2341569833","https://openalex.org/W2431874326","https://openalex.org/W2580705004","https://openalex.org/W2605102758","https://openalex.org/W2766993077","https://openalex.org/W2786808285","https://openalex.org/W2794284562","https://openalex.org/W2897093520","https://openalex.org/W2908739874","https://openalex.org/W2909608117","https://openalex.org/W2910474428","https://openalex.org/W2945685071","https://openalex.org/W2950921159","https://openalex.org/W2953669419","https://openalex.org/W2961889961","https://openalex.org/W2963033241","https://openalex.org/W2963177347","https://openalex.org/W2963188159","https://openalex.org/W2963231598","https://openalex.org/W2963326767","https://openalex.org/W2963675327","https://openalex.org/W2967009971","https://openalex.org/W2981930167","https://openalex.org/W3006814414","https://openalex.org/W3100397002","https://openalex.org/W4240429504","https://openalex.org/W4289489637","https://openalex.org/W4293655578","https://openalex.org/W6608332583","https://openalex.org/W6632112821","https://openalex.org/W6744077152"],"related_works":["https://openalex.org/W4318751391","https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2058718607","https://openalex.org/W188202134","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W2963906439"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2],"automated":[3,20],"pipeline":[4,54],"for":[5,11,46,69],"the":[6,31,58,86,92,127],"generation":[7,21],"of":[8,40,126,135],"synthetic":[9],"datasets":[10,36,133],"six-dimension":[12],"(6D)":[13],"object":[14,51,74,87,130],"pose":[15,88],"estimation.":[16],"Therefore,":[17],"a":[18,38,49,66],"completely":[19],"process":[22],"based":[23,56],"on":[24,57,102],"predefined":[25],"settings":[26],"is":[27,44,55,109,121],"developed,":[28],"which":[29,43,98],"enables":[30,99],"user":[32],"to":[33,85,111],"create":[34],"large":[35],"with":[37,48],"minimum":[39],"interaction":[41],"and":[42,64,80,89,115,158],"feasible":[45],"applications":[47],"high":[50,67],"variance.":[52],"The":[53,106,132],"Unreal":[59],"4":[60],"(UE4)":[61],"game":[62],"engine":[63],"provides":[65],"variation":[68],"domain":[70],"randomization,":[71],"such":[72],"as":[73],"appearance,":[75],"ambient":[76],"lighting,":[77],"camera-object":[78],"transformation":[79],"distractor":[81],"density.":[82],"In":[83],"addition":[84],"bounding":[90],"box,":[91],"metadata":[93],"includes":[94,151],"all":[95],"randomization":[96,103],"parameters,":[97],"further":[100],"studies":[101],"parameter":[104],"tuning.":[105],"developed":[107],"workflow":[108],"adaptable":[110],"other":[112],"3D":[113],"objects":[114,125],"UE4":[116,146],"environments.":[117,147],"An":[118],"exemplary":[119],"dataset":[120,149],"provided":[122],"including":[123],"five":[124],"Yale-CMU-Berkeley":[128],"(YCB)":[129],"set.":[131],"consist":[134],"6":[136],"million":[137],"subsegments":[138],"using":[139],"97":[140],"rendering":[141],"locations":[142],"in":[143],"12":[144],"different":[145],"Each":[148],"subsegment":[150],"one":[152,155,159],"RGB":[153],"image,":[154],"depth":[156],"image":[157,162],"class":[160],"segmentation":[161],"at":[163],"pixel-level.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
