乐胖代购免代理版

{"id":"https://openalex.org/W2108889042","doi":"https://doi.org/10.1109/34.632988","title":"Superquadrics for segmenting and modeling range data","display_name":"Superquadrics for segmenting and modeling range data","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2108889042","doi":"https://doi.org/10.1109/34.632988","mag":"2108889042"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/34.632988","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5085971943","display_name":"Ale\u0161 Leonardis","orcid":"https://orcid.org/0000-0003-0773-3277"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"funder","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"A. Leonardis","raw_affiliation_strings":["Comput. Vision Lab., Ljubljana Univ., Slovenia"],"affiliations":[{"raw_affiliation_string":"Comput. Vision Lab., Ljubljana Univ., Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008429878","display_name":"Ale\u0161 Jakli\u010d","orcid":"https://orcid.org/0000-0001-8765-897X"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"funder","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"A. Jaklic","raw_affiliation_strings":["University of Ljubljana; Ljubljana; Slovenia"],"affiliations":[{"raw_affiliation_string":"University of Ljubljana; Ljubljana; Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077686752","display_name":"Franc Solina","orcid":"https://orcid.org/0000-0002-9268-6825"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"funder","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"F. Solina","raw_affiliation_strings":["Computer Vision Laboratory Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.48,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":148,"citation_normalized_percentile":{"value":0.966475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"19","issue":"11","first_page":"1289","last_page":"1295"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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":0.9998,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.6332067},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market Segmentation","score":0.43629718}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.71747124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70850474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942399},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.6332067},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5650524},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5638243},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.54541385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5002885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47282493},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.43629718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43384585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24923626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22074655},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.089083076},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/34.632988","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1481387016","https://openalex.org/W1488294311","https://openalex.org/W1562895369","https://openalex.org/W1565981348","https://openalex.org/W1973522050","https://openalex.org/W2023751161","https://openalex.org/W2039005177","https://openalex.org/W2046175448","https://openalex.org/W2071991725","https://openalex.org/W2080082398","https://openalex.org/W2115315913","https://openalex.org/W2123564600","https://openalex.org/W2127726843","https://openalex.org/W2131938593","https://openalex.org/W2132396702","https://openalex.org/W2132492105","https://openalex.org/W2152450746","https://openalex.org/W2160225702","https://openalex.org/W285212305","https://openalex.org/W2913090860","https://openalex.org/W4235944870","https://openalex.org/W4250993109","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4255512592","https://openalex.org/W4205247302","https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2501551404","https://openalex.org/W2468652214","https://openalex.org/W2326647871","https://openalex.org/W2045342254","https://openalex.org/W1504527458","https://openalex.org/W1501331687"],"abstract_inverted_index":{"We":[0,19,48],"present":[1,49],"an":[2],"approach":[3,41],"to":[4,68],"reliable":[5],"and":[6,54,70],"efficient":[7],"recovery":[8],"of":[9,13,38,63],"part-descriptions":[10],"in":[11,36],"terms":[12,37],"superquadric":[14],"models":[15],"from":[16,27],"range":[17,56],"data.":[18],"show":[20],"that":[21],"superquadrics":[22],"can":[23],"directly":[24],"be":[25],"recovered":[26],"unsegmented":[28],"data,":[29],"thus":[30],"avoiding":[31],"any":[32],"presegmentation":[33],"steps":[34],"(e.g.":[35],"surfaces).":[39],"The":[40],"is":[42],"based":[43],"on":[44,52],"the":[45,61,64],"recover-and-select":[46],"paradigm.":[47],"several":[50],"experiments":[51],"real":[53],"synthetic":[55],"images,":[57],"where":[58],"we":[59],"demonstrate":[60],"stability":[62],"results":[65],"with":[66],"respect":[67],"viewpoint":[69],"noise.":[71]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2108889042","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":3}],"updated_date":"2025-03-19T04:52:54.818434","created_date":"2016-06-24"}