{"id":"https://openalex.org/W2215393779","doi":"https://doi.org/10.1109/humanoids.2015.7363521","title":"A new robotic context-based object recognition algorithm for humanoid robots","display_name":"A new robotic context-based object recognition algorithm for humanoid robots","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2215393779","doi":"https://doi.org/10.1109/humanoids.2015.7363521","mag":"2215393779"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids.2015.7363521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2015.7363521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids)","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/A5112892800","display_name":"Ju Han Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ju Han Yoo","raw_affiliation_strings":["Center for Robotics Research, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Robotics Research, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370741","display_name":"Dong Hwan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Hwan Kim","raw_affiliation_strings":["Center for Robotics Research, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Robotics Research, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112892800"],"corresponding_institution_ids":["https://openalex.org/I58716616"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1122743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9951000213623047,"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":0.9950000047683716,"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/ransac","display_name":"RANSAC","score":0.8401890993118286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7205966114997864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5870447158813477},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5626444816589355},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5604901909828186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574390292167664},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.5374183654785156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5347631573677063},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49438905715942383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48728859424591064},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4521583914756775},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.43600189685821533},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4301132261753082},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3842677175998688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33970674872398376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19825857877731323}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8401890993118286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7205966114997864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5870447158813477},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5626444816589355},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5604901909828186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574390292167664},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.5374183654785156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5347631573677063},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49438905715942383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48728859424591064},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4521583914756775},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.43600189685821533},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4301132261753082},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3842677175998688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33970674872398376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19825857877731323},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/humanoids.2015.7363521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2015.7363521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1528789833","https://openalex.org/W1532362218","https://openalex.org/W1596812151","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W1975023795","https://openalex.org/W1995301957","https://openalex.org/W2012313888","https://openalex.org/W2017373094","https://openalex.org/W2033819227","https://openalex.org/W2042316011","https://openalex.org/W2085261163","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2112495558","https://openalex.org/W2117228865","https://openalex.org/W2121043743","https://openalex.org/W2126130784","https://openalex.org/W2141584146","https://openalex.org/W2144506857","https://openalex.org/W2151103935","https://openalex.org/W2160254296","https://openalex.org/W2166820607","https://openalex.org/W3144586139","https://openalex.org/W4205398292","https://openalex.org/W6629564929","https://openalex.org/W6631412525","https://openalex.org/W6631707545","https://openalex.org/W6635692230","https://openalex.org/W6637324600","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W4385261474","https://openalex.org/W1983540692","https://openalex.org/W65885411","https://openalex.org/W2920969423"],"abstract_inverted_index":{"Ihis":[0],"paper":[1],"proposes":[2],"a":[3,35,47,102,133],"new":[4,103,134],"object":[5,18,169],"recognition":[6,19,170],"algorithm":[7,91,171],"using":[8],"robotic":[9,104],"context":[10],"information":[11],"for":[12,20,50],"humanoid":[13],"robots.":[14],"For":[15],"more":[16],"robust":[17],"less":[21,117,175],"textured":[22],"objects,":[23],"we":[24,131],"combine":[25],"shape-based":[26],"interest":[27,40],"points":[28],"and":[29,52,158],"local":[30],"appearance-based":[31],"descriptors":[32],"computed":[33,58],"in":[34,73],"neighborhood":[36],"around":[37],"each":[38],"detected":[39],"point.":[41],"The":[42],"combination":[43],"is":[44,95,109,124],"used":[45],"as":[46],"basic":[48],"feature":[49,54,114],"matching,":[51],"candidate":[53],"correspondences":[55],"are":[56,71],"first":[57],"based":[59,149],"on":[60,150],"the":[61,88,98,121,139,146,159,167],"k-nearest":[62],"neighbor":[63],"algorithm.":[64],"Then,":[65],"all":[66],"possible":[67],"pairs":[68],"of":[69,75],"features":[70,157],"considered":[72],"terms":[74],"geometric":[76,84],"deformation.":[77],"In":[78,97],"order":[79],"to":[80,111,127,137,142],"deal":[81],"with":[82,92,116],"pairwise":[83,93],"relationship":[85],"between":[86,155],"features,":[87],"spectral":[89,99],"matching":[90,100,115,147],"constraints":[94],"applied.":[96],"process,":[101],"context-based":[105],"correspondence":[106],"filtering":[107],"method":[108,136],"combined":[110],"obtain":[112,138],"improved":[113],"false":[118],"correspondences.":[119],"Finally,":[120],"RANSAC-based":[122],"refinement":[123],"carried":[125],"out":[126],"remove":[128],"outliers.":[129],"Also,":[130],"propose":[132],"assessment":[135],"final":[140],"decision":[141],"accept":[143],"or":[144],"reject":[145],"results":[148,164],"an":[151],"affine":[152],"distortion":[153],"measure":[154],"model":[156],"matched":[160],"image":[161],"features.":[162],"Experimental":[163],"show":[165],"that":[166],"proposed":[168],"can":[172],"robustly":[173],"identity":[174],"texture":[176],"objects.":[177]},"counts_by_year":[],"updated_date":"2026-01-28T23:14:49.684275","created_date":"2025-10-10T00:00:00"}
