{"id":"https://openalex.org/W2922093271","doi":"https://doi.org/10.5220/0007568706070613","title":"Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation","display_name":"Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922093271","doi":"https://doi.org/10.5220/0007568706070613","mag":"2922093271"},"language":"en","primary_location":{"id":"doi:10.5220/0007568706070613","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007568706070613","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007568706070613","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109419281","display_name":"Shuichi Akizuki","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]},{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuichi Akizuki","raw_affiliation_strings":["Department of Electrical Engineering, Keio University, Hiyoshi, Yokohama, Japan, Department of Engineering, Chukyo University, Nagoya, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Keio University, Hiyoshi, Yokohama, Japan, Department of Engineering, Chukyo University, Nagoya, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I98940699","https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102933643","display_name":"Manabu Hashimoto","orcid":"https://orcid.org/0000-0002-5896-3569"},"institutions":[{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Hashimoto","raw_affiliation_strings":["Department of Engineering, Chukyo University, Nagoya, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Chukyo University, Nagoya, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I98940699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109419281"],"corresponding_institution_ids":["https://openalex.org/I203951103","https://openalex.org/I98940699"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58572935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"607","last_page":"613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9914000034332275,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.8180321455001831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7014411687850952},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6155686378479004},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.564799964427948},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.53694748878479},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4823850691318512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4612649083137512},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44398507475852966},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41191619634628296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39848965406417847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180321455001831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7014411687850952},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6155686378479004},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.564799964427948},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.53694748878479},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4823850691318512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4612649083137512},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44398507475852966},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41191619634628296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39848965406417847},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007568706070613","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007568706070613","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007568706070613","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007568706070613","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W3101088080","https://openalex.org/W2946083937","https://openalex.org/W4387968151","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3],"propose":[4],"a":[5,8,111],"method":[6,26,87,105],"using":[7,38],"low":[9],"cost":[10],"process":[11],"to":[12,50,70,73,92,109,129],"generate":[13],"large":[14,94],"volumes":[15,95],"of":[16,83,96],"real":[17,101],"images":[18,36,61,77],"as":[19],"training":[20],"data":[21,99],"for":[22,33,100,116],"semantic":[23,133],"segmentation.":[24],"The":[25,103],"first":[27],"estimates":[28],"the":[29,54,63,80,84,120],"six-degree-of-freedom":[30],"(6DoF)":[31],"pose":[32],"objects":[34],"in":[35],"obtained":[37],"an":[39],"RGB-D":[40],"sensor,":[41],"and":[42,67],"then":[43],"maps":[44],"labels":[45,72],"that":[46],"have":[47],"been":[48,107,127],"pre-assigned":[49],"3D":[51],"models":[52],"onto":[53],"images.":[55,102],"It":[56],"also":[57],"captures":[58],"additional":[59],"input":[60,76],"while":[62],"camera":[64],"is":[65,68],"moving,":[66],"able":[69],"map":[71],"these":[74],"other":[75],"based":[78],"on":[79],"relative":[81],"motion":[82],"viewpoint.":[85],"This":[86],"has":[88,106,126],"made":[89],"it":[90],"possible":[91],"obtain":[93],"ground":[97],"truth":[98],"proposed":[104],"used":[108,128],"create":[110],"new":[112],"publicity":[113],"available":[114],"dataset":[115],"affordance":[117],"segmentation,":[118],"called":[119],"NEDO":[121],"Part-Affordance":[122],"Dataset":[123],"v1,":[124],"which":[125],"benchmark":[130],"some":[131],"typical":[132],"segmentation":[134],"algorithms.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
