{"id":"https://openalex.org/W2609207989","doi":"https://doi.org/10.1109/icpr.2016.7900196","title":"Moment-based symmetry detection for scene modeling and recognition using RGB-D images","display_name":"Moment-based symmetry detection for scene modeling and recognition using RGB-D images","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609207989","doi":"https://doi.org/10.1109/icpr.2016.7900196","mag":"2609207989"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5015918780","display_name":"Jui-Yuan Su","orcid":"https://orcid.org/0000-0002-0680-8727"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]},{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jui-Yuan Su","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","Dept. of New Media and Communications Administration, Ming Chan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Dept. of New Media and Communications Administration, Ming Chan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101839507","display_name":"Shyi\u2010Chyi Cheng","orcid":"https://orcid.org/0000-0003-4752-0460"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyi-Chyi Cheng","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053058538","display_name":"Jun\u2010Wei Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Wei Hsieh","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011881193","display_name":"Tzu-Hao Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Hao Hsu","raw_affiliation_strings":["Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015918780"],"corresponding_institution_ids":["https://openalex.org/I153512688","https://openalex.org/I192703390"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2031819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"3621","last_page":"3626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9991000294685364,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6543097496032715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069726347923279},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5781311988830566},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.5768662691116333},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5676847696304321},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.5152207016944885},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5135193467140198},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5092662572860718},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.49154672026634216},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.47341305017471313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4672752618789673},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.44846898317337036},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4385879337787628},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43803876638412476},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3275456428527832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29411202669143677},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07686987519264221}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6543097496032715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069726347923279},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5781311988830566},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.5768662691116333},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5676847696304321},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.5152207016944885},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5135193467140198},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5092662572860718},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.49154672026634216},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.47341305017471313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4672752618789673},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.44846898317337036},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4385879337787628},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43803876638412476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3275456428527832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29411202669143677},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07686987519264221},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W125693051","https://openalex.org/W1580065766","https://openalex.org/W1980203664","https://openalex.org/W2012313888","https://openalex.org/W2070961462","https://openalex.org/W2083102343","https://openalex.org/W2102605133","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2168356304","https://openalex.org/W6602324145","https://openalex.org/W6605121731"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2611300636","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2007009951","https://openalex.org/W2350539780","https://openalex.org/W2002351209","https://openalex.org/W3024364549","https://openalex.org/W3122652148","https://openalex.org/W4231805844"],"abstract_inverted_index":{"In":[0,70],"this":[1,83],"paper":[2],"we":[3],"present":[4],"a":[5,86,93,117],"novel":[6],"unsupervised":[7],"feature":[8,96],"representation":[9],"by":[10],"extracting":[11],"salient":[12],"symmetries":[13],"in":[14,144],"RGB-D":[15,43,131],"images":[16],"using":[17,151],"the":[18,45,52,71,79,104,107,112,125,129,137,141],"proposed":[19,138],"moment-based":[20],"symmetric":[21,34,39,47,55,63],"patch":[22,48,56],"detector.":[23],"A":[24],"fast":[25],"indexing":[26,49],"structure":[27],"is":[28,121],"also":[29],"derived":[30],"to":[31,123],"group":[32],"local":[33],"patches":[35],"into":[36,62],"semantically":[37],"meaningful":[38],"parts.":[40],"Given":[41],"an":[42],"image,":[44],"hash-based":[46],"speeds":[50],"up":[51],"searches":[53],"of":[54,73,82,106,128,146],"pairs,":[57],"which":[58],"are":[59],"further":[60],"grouped":[61],"parts":[64],"with":[65],"nearly":[66],"linear":[67],"time":[68],"complexity.":[69],"context":[72],"symmetry":[74,108],"matching":[75],"and":[76,148],"scene":[77,88,115,126],"classification,":[78],"second":[80],"part":[81],"work":[84],"presents":[85],"symmetry-based":[87],"modeling,":[89],"aiming":[90],"at":[91],"computing":[92],"robust":[94],"part-based":[95,114,118],"set":[97],"for":[98],"each":[99],"image":[100],"category.":[101],"To":[102],"verify":[103],"effectiveness":[105],"detector,":[109],"based":[110],"on":[111],"pre-learned":[113],"model,":[116],"voting":[119],"scheme":[120],"constructed":[122],"annotate":[124],"type":[127],"input":[130],"image.":[132],"Experimental":[133],"results":[134],"show":[135],"that":[136],"approach":[139],"outperforms":[140],"compared":[142],"methods":[143],"terms":[145],"detection":[147],"recognition":[149],"accuracy":[150],"publicly":[152],"available":[153],"datasets.":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
