{"id":"https://openalex.org/W2035292471","doi":"https://doi.org/10.1117/12.2083321","title":"Communication target object recognition for D2D connection with feature size limit","display_name":"Communication target object recognition for D2D connection with feature size limit","publication_year":2015,"publication_date":"2015-03-11","ids":{"openalex":"https://openalex.org/W2035292471","doi":"https://doi.org/10.1117/12.2083321","mag":"2035292471"},"language":"en","primary_location":{"id":"doi:10.1117/12.2083321","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083321","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109127577","display_name":"Jiheon Ok","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiheon Ok","raw_affiliation_strings":["Yonsei Univ. (Korea, Republic of)","#N##TAB##TAB##TAB##TAB# Yonsei University, Korea, Republic of#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei Univ. (Korea, Republic of)","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Yonsei University, Korea, Republic of#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066337513","display_name":"Soochang Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soochang Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (Korea, Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (Korea, Republic of)","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345275","display_name":"Young\u2010Hoon Kim","orcid":"https://orcid.org/0000-0002-4254-647X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-hoon Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (Korea, Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (Korea, Republic of)","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719564","display_name":"Chulhee Lee","orcid":"https://orcid.org/0000-0001-9085-2917"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chulhee Lee","raw_affiliation_strings":["Yonsei Univ. (Korea, Republic of)","#N##TAB##TAB##TAB##TAB# Yonsei University, Korea, Republic of#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei Univ. (Korea, Republic of)","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Yonsei University, Korea, Republic of#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41770752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9411","issue":null,"first_page":"94110B","last_page":"94110B"},"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":0.9973000288009644,"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":0.9973000288009644,"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":0.9965000152587891,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.6808522939682007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6648102402687073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6130356788635254},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.5992357730865479},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4812202751636505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4663739800453186},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43854308128356934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43393978476524353},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42079994082450867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.420375794172287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1842365860939026},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07408425211906433}],"concepts":[{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.6808522939682007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6648102402687073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6130356788635254},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.5992357730865479},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4812202751636505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4663739800453186},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43854308128356934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43393978476524353},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42079994082450867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.420375794172287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1842365860939026},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07408425211906433},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2083321","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083321","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1802222823","https://openalex.org/W2075539115","https://openalex.org/W2099244020","https://openalex.org/W2125227188","https://openalex.org/W2151103935","https://openalex.org/W6675077989","https://openalex.org/W6678722791"],"related_works":["https://openalex.org/W587735977","https://openalex.org/W1978142926","https://openalex.org/W3157395178","https://openalex.org/W184455116","https://openalex.org/W2058473748","https://openalex.org/W963756281","https://openalex.org/W2371558776","https://openalex.org/W2045569473","https://openalex.org/W2364426643","https://openalex.org/W2399388599"],"abstract_inverted_index":{"Recently,":[0],"a":[1,119,141],"new":[2],"concept":[3],"of":[4,83,144,169],"device-to-device":[5],"(D2D)":[6],"communication,":[7],"which":[8],"is":[9],"called":[10],"\u201cpoint-and-link":[11],"communication\u201d":[12],"has":[13],"attracted":[14],"great":[15],"attentions":[16],"due":[17],"to":[18,28,67,74],"its":[19],"intuitive":[20],"and":[21,79,93,103,112,129,153,166],"simple":[22],"operation.":[23],"This":[24],"approach":[25],"enables":[26],"user":[27],"communicate":[29],"with":[30],"target":[31,45],"devices":[32],"without":[33],"any":[34],"pre-identification":[35],"information":[36],"such":[37],"as":[38,150],"SSIDs,":[39],"MAC":[40],"addresses":[41],"by":[42,107],"selecting":[43],"the":[44,49,75,86,109,135,164,167,170],"image":[46],"displayed":[47],"on":[48],"user\u2019s":[50],"own":[51],"device.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,100],"present":[57],"an":[58],"efficient":[59],"object":[60,130],"matching":[61,87],"algorithm":[62,88,117],"that":[63],"can":[64],"be":[65],"applied":[66],"look(point)-and-link":[68],"communications":[69],"for":[70],"mobile":[71,84],"services.":[72],"Due":[73],"limited":[76,142],"channel":[77],"bandwidth":[78],"low":[80],"computational":[81],"power":[82],"terminals,":[85],"should":[89],"satisfy":[90],"low-complexity,":[91],"low-memory":[92],"realtime":[94],"requirements.":[95],"To":[96,133],"meet":[97],"these":[98],"requirements,":[99],"propose":[101],"fast":[102],"robust":[104],"feature":[105,151],"extraction":[106],"considering":[108],"descriptor":[110,136],"size":[111,137],"processing":[113],"time.":[114],"The":[115],"proposed":[116,171],"utilizes":[118],"HSV":[120],"color":[121],"histogram,":[122],"SIFT":[123,145],"(Scale":[124],"Invariant":[125],"Feature":[126],"Transform)":[127],"features":[128],"aspect":[131],"ratios.":[132],"reduce":[134],"under":[138],"300":[139],"bytes,":[140],"number":[143],"key":[146],"points":[147,152],"were":[148,155],"chosen":[149],"histograms":[154],"binarized":[156],"while":[157],"maintaining":[158],"required":[159],"performance.":[160],"Experimental":[161],"results":[162],"show":[163],"robustness":[165],"efficiency":[168],"algorithm.":[172]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}