{"id":"https://openalex.org/W2551975907","doi":"https://doi.org/10.1145/2987386.2987393","title":"Recognition of Urban Buildings by SIFT Matching with Google Street View Images","display_name":"Recognition of Urban Buildings by SIFT Matching with Google Street View Images","publication_year":2016,"publication_date":"2016-10-11","ids":{"openalex":"https://openalex.org/W2551975907","doi":"https://doi.org/10.1145/2987386.2987393","mag":"2551975907"},"language":"en","primary_location":{"id":"doi:10.1145/2987386.2987393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2987386.2987393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","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/A5011384765","display_name":"Bumseok Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Bumseok Cho","raw_affiliation_strings":["Dept. of ECE, University of Seoul, Jeonnong-dong, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, University of Seoul, Jeonnong-dong, Seoul, Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109271778","display_name":"Yong Cheol Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Cheol Kim","raw_affiliation_strings":["Dept. of ECE, University of Seoul, Jeonnong-dong, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, University of Seoul, Jeonnong-dong, Seoul, Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011384765"],"corresponding_institution_ids":["https://openalex.org/I124633538"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12145267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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":0.994700014591217,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8292173147201538},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7481410503387451},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.721546471118927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691486120223999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360372304916382},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6221668124198914},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6216411590576172},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5626893043518066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5345792770385742},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5109249949455261},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4394785761833191},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4338601231575012},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3548157215118408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33794909715652466},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09814310073852539},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07890242338180542}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8292173147201538},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7481410503387451},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.721546471118927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691486120223999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360372304916382},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6221668124198914},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6216411590576172},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5626893043518066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5345792770385742},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5109249949455261},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4394785761833191},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4338601231575012},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3548157215118408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33794909715652466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09814310073852539},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07890242338180542},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2987386.2987393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2987386.2987393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1744214816","https://openalex.org/W2037013808","https://openalex.org/W2041985031","https://openalex.org/W2067191022","https://openalex.org/W2078907707","https://openalex.org/W2125838338","https://openalex.org/W2151103935"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W1981184105"],"abstract_inverted_index":{"Modern":[0],"buildings":[1],"have":[2],"repetitive":[3],"features":[4],"such":[5],"as":[6],"windows.":[7],"Hence,":[8],"SIFT":[9,51],"keypoint":[10],"matching":[11,21,87],"of":[12,22,24,95,111,114],"similar-looking":[13],"building":[14],"images":[15,127],"produces":[16],"inherent":[17],"ambiguity.":[18],"Relaxation":[19],"based":[20,62],"clusters":[23,74,117],"keypoints":[25,69],"has":[26,53],"been":[27],"proposed":[28,131],"to":[29,38,78,99,107],"relax":[30],"the":[31,39,46,50,109,112,115,119,130],"ambiguity":[32],"problem.":[33],"We":[34],"add":[35],"two":[36],"improvements":[37],"past":[40],"works.":[41],"The":[42,81],"first":[43],"is":[44,83,97,105],"that":[45,129],"dominant":[47],"orientation":[48],"in":[49,57,60],"descriptor":[52],"its":[54],"weight":[55],"both":[56],"clustering":[58],"and":[59,75],"relaxation":[61],"matching.":[63,80],"As":[64],"a":[65],"result,":[66],"rotationally":[67],"symmetric":[68],"are":[70,142],"divided":[71],"into":[72],"separate":[73],"this":[76],"leads":[77],"finer":[79],"second":[82],"multi-frame":[84],"verification":[85],"on":[86,124],"with":[88],"Google":[89],"Street":[90,125],"View":[91,126],"images.":[92],"Accumulated":[93],"confidence":[94],"correspondence":[96],"used":[98,106,143],"suppress":[100],"false":[101],"positives.":[102],"Inter-frame":[103],"homography":[104],"measure":[108],"discrepancy":[110],"position":[113],"predicted":[116],"from":[118],"actually":[120],"matched":[121],"ones.":[122],"Experiments":[123],"show":[128],"method":[132],"achieves":[133],"significant":[134],"improvement":[135],"when":[136],"more":[137],"than":[138],"four":[139],"consecutive":[140],"frames":[141],"for":[144],"verification.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
