{"id":"https://openalex.org/W1994237459","doi":"https://doi.org/10.4304/jcp.6.8.1740-1747","title":"Recognizing Partially Occluded Object from a Line Drawing","display_name":"Recognizing Partially Occluded Object from a Line Drawing","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W1994237459","doi":"https://doi.org/10.4304/jcp.6.8.1740-1747","mag":"1994237459"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.6.8.1740-1747","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.8.1740-1747","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5101866271","display_name":"Guimei Zhang","orcid":"https://orcid.org/0000-0002-8094-7936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guimei Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068628314","display_name":"Jun Chu","orcid":"https://orcid.org/0000-0003-2408-3982"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Chu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55419257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9984999895095825,"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":0.581739604473114},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5673044323921204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141444802284241},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5060383677482605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716838002204895},{"id":"https://openalex.org/keywords/line-drawings","display_name":"Line drawings","score":0.4553540050983429},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.2875589430332184},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24253347516059875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20606309175491333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04898396134376526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.581739604473114},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5673044323921204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141444802284241},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5060383677482605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716838002204895},{"id":"https://openalex.org/C2983864324","wikidata":"https://www.wikidata.org/wiki/Q16872183","display_name":"Line drawings","level":2,"score":0.4553540050983429},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2875589430332184},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24253347516059875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20606309175491333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04898396134376526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.6.8.1740-1747","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.8.1740-1747","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1970070526","https://openalex.org/W2026316394","https://openalex.org/W2063606189","https://openalex.org/W2128236280","https://openalex.org/W2130082744","https://openalex.org/W2152074731","https://openalex.org/W2156018110","https://openalex.org/W2164206608"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Most":[0],"existing":[1],"methods":[2],"for":[3,11],"partially":[4,34,155],"occluded":[5,35,156],"object":[6,80,152,210],"recognition":[7,37,42,179],"are":[8,44,141,191],"only":[9,135],"suit":[10],"Euclid":[12],"and":[13,27,79,105,131,162,171,199,209,215],"similarity":[14,69,76,101,113,132,146,160],"transformation.":[15,29,40],"As":[16,173],"a":[17,50,67,93,116,154,174,213],"result,":[18,175],"the":[19,25,61,75,85,88,100,137,163,169,176,188],"performance":[20],"would":[21],"be":[22,82],"degraded":[23],"in":[24,63,212],"affine":[26,39,55,64],"perspective":[28],"This":[30],"paper":[31],"focuses":[32],"on":[33,60,84],"shape":[36,195],"under":[38,54],"The":[41,159,183],"algorithms":[43,190],"as":[45],"follows:":[46],"First,":[49],"new":[51,68],"local":[52,89,127,138],"invariant":[53],"transformation":[56],"is":[57,71,96,109,121,129,133,180],"given":[58],"based":[59],"invariants":[62],"geometry.":[65],"Second,":[66],"function":[70,95,120,161,167],"established":[72],"to":[73,81,98,111,123,194],"measure":[74],"between":[77,103,206],"models":[78],"recognized":[83],"basis":[86],"of":[87,178],"invariant.":[90],"And":[91],"then,":[92],"transform":[94],"designed":[97],"normalize":[99],"value":[102],"0":[104],"1,":[106],"so":[107],"it":[108],"convenient":[110],"select":[112],"threshold.":[114],"Finally,":[115],"loss":[117,164],"feature":[118,128,165],"judged":[119],"constructed":[122],"judge":[124,166],"whether":[125],"each":[126],"lost,":[130],"calculated":[134],"use":[136],"features":[139,208,211],"which":[140],"not":[142],"lost.":[143],"By":[144],"comparing":[145],"with":[147],"pre-threshold,":[148],"we":[149],"can":[150,216],"recognize":[151,217],"from":[153],"line":[157],"drawing.":[158],"consider":[168],"noises":[170],"occlusion.":[172,200],"reliability":[177],"improved":[181],"greatly.":[182],"experiment":[184],"results":[185],"show":[186],"that":[187],"proposed":[189],"quite":[192],"robust":[193],"variations,":[196],"including":[197],"noise":[198],"Moreover,":[201],"they":[202],"establish":[203],"one-to-one":[204],"correspondence":[205],"model":[207],"scene,":[214],"multiple":[218],"objects.":[219]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
