{"id":"https://openalex.org/W2296694552","doi":"https://doi.org/10.1109/icip.2015.7350851","title":"Object classification from RGB-D images using depth context kernel descriptors","display_name":"Object classification from RGB-D images using depth context kernel descriptors","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296694552","doi":"https://doi.org/10.1109/icip.2015.7350851","mag":"2296694552"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5083939413","display_name":"Hong Pan","orcid":"https://orcid.org/0000-0002-0539-7997"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN","DK"],"is_corresponding":true,"raw_author_name":"Hong Pan","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Denmark","School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086277019","display_name":"S\u00f8ren Ingvor Olsen","orcid":"https://orcid.org/0000-0002-4466-1914"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Soren Ingvor Olsen","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101564873","display_name":"Yaping Zhu","orcid":"https://orcid.org/0000-0002-8150-6366"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Yaping Zhu","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083939413"],"corresponding_institution_ids":["https://openalex.org/I124055696","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16044351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"512","last_page":"516"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955000281333923,"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":0.8000520467758179},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.647023618221283},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6238404512405396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6006059050559998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.579666256904602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5736765265464783},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4991586208343506},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4916582703590393},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4798257350921631},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.42553412914276123},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4140096604824066},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39045700430870056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30967652797698975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2423945665359497}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8000520467758179},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.647023618221283},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6238404512405396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6006059050559998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.579666256904602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5736765265464783},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4991586208343506},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4916582703590393},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4798257350921631},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.42553412914276123},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4140096604824066},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39045700430870056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30967652797698975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2423945665359497},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2015.7350851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/1cc67b48-485b-452e-a0ed-a1174016bee5","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/1cc67b48-485b-452e-a0ed-a1174016bee5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pan , H , Olsen , S I & Zhu , Y 2015 , Object classfication from RGB-D images using depth context kernel descriptors . in 2015 IEEE International Conference on Image Processing (ICIP 2015) . IEEE , pp. 512-516 , International Conference on Image Processing 2015 , Quebec City , Canada , 27/09/2015 . https://doi.org/10.1109/ICIP.2015.7350851","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:researchbank.swinburne.edu.au:e362b59a-bd1a-4038-9372-994b21590f29/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/455626","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, 27-30 Sept. 2015, pp. 512-516","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W182048296","https://openalex.org/W1127933012","https://openalex.org/W1202180536","https://openalex.org/W1532441231","https://openalex.org/W1565402342","https://openalex.org/W1573897183","https://openalex.org/W1591677984","https://openalex.org/W1606858007","https://openalex.org/W1969366022","https://openalex.org/W1973405512","https://openalex.org/W1998870338","https://openalex.org/W2066813062","https://openalex.org/W2067156433","https://openalex.org/W2070961462","https://openalex.org/W2073700113","https://openalex.org/W2074142320","https://openalex.org/W2085411191","https://openalex.org/W2097018403","https://openalex.org/W2103444992","https://openalex.org/W2106766627","https://openalex.org/W2112274848","https://openalex.org/W2118585731","https://openalex.org/W2147238549","https://openalex.org/W2149803014","https://openalex.org/W2156222070","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2230170002","https://openalex.org/W4232730838","https://openalex.org/W6627129904","https://openalex.org/W6631910803","https://openalex.org/W6633727509","https://openalex.org/W6635363735","https://openalex.org/W6636412649","https://openalex.org/W6642295358","https://openalex.org/W6666899075","https://openalex.org/W6674642818","https://openalex.org/W6675541922","https://openalex.org/W6676759488","https://openalex.org/W6677656871","https://openalex.org/W6688863328"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W3217780232"],"abstract_inverted_index":{"Context":[0],"cue":[1,12,84],"is":[2,43,97],"important":[3],"in":[4,64,88],"object":[5,37,116,130],"classification.":[6,38],"By":[7,108],"embedding":[8,109],"the":[9,46,59,65,82,94,104,114],"depth":[10,25,29,47,83,95,106],"context":[11,30],"of":[13,24,41,49,61,103],"image":[14,26,50,79,91],"attributes":[15,51],"into":[16,113],"kernel":[17,31,66],"descriptors,":[18],"we":[19,119],"propose":[20],"a":[21,54,69],"new":[22],"set":[23],"descriptors":[27,32],"called":[28],"(DCKD)":[33],"for":[34,129],"RGB-D":[35,127],"based":[36],"The":[39],"motivation":[40],"DCKD":[42,110],"to":[44,57,99,123],"use":[45],"consistency":[48],"defined":[52],"within":[53],"neighboring":[55],"region":[56],"improve":[58],"robustness":[60],"descriptor":[62],"matching":[63],"space.":[67],"Moreover,":[68],"novel":[70],"joint":[71],"spatial-depth":[72],"pooling":[73],"(JSDP)":[74],"scheme,":[75],"which":[76],"further":[77],"partitions":[78],"sub-regions":[80],"using":[81],"and":[85,93,111,132],"pools":[86],"features":[87],"both":[89],"2D":[90],"plane":[92],"direction,":[96],"developed":[98],"take":[100],"full":[101],"advantage":[102],"available":[105],"information.":[107],"JSDP":[112],"standard":[115],"classification":[117,131],"pipeline,":[118],"achieve":[120],"superior":[121],"performance":[122],"state-of-the-art":[124],"methods":[125],"on":[126],"benchmarks":[128],"scene":[133],"recognition.":[134]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
