{"id":"https://openalex.org/W1973775689","doi":"https://doi.org/10.1109/iccvw.2009.5457507","title":"Large-scale urban environment modeling from videos using image content segmentation and alignment","display_name":"Large-scale urban environment modeling from videos using image content segmentation and alignment","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W1973775689","doi":"https://doi.org/10.1109/iccvw.2009.5457507","mag":"1973775689"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5100368903","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-9726-0858"},"institutions":[{"id":"https://openalex.org/I880747138","display_name":"Science Applications International Corporation (United States)","ror":"https://ror.org/00zv91802","country_code":"US","type":"company","lineage":["https://openalex.org/I880747138"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["GSTI Division, SAIC, Springfield, VA, USA","SAIC, GSTI Division, Springfield, VA 22150, USA"],"affiliations":[{"raw_affiliation_string":"GSTI Division, SAIC, Springfield, VA, USA","institution_ids":[]},{"raw_affiliation_string":"SAIC, GSTI Division, Springfield, VA 22150, USA","institution_ids":["https://openalex.org/I880747138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014049850","display_name":"Jonathan T. Blocksom","orcid":null},"institutions":[{"id":"https://openalex.org/I880747138","display_name":"Science Applications International Corporation (United States)","ror":"https://ror.org/00zv91802","country_code":"US","type":"company","lineage":["https://openalex.org/I880747138"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan T. Blocksom","raw_affiliation_strings":["GSTI Division, SAIC, Springfield, VA, USA","SAIC, GSTI Division, Springfield, VA 22150, USA"],"affiliations":[{"raw_affiliation_string":"GSTI Division, SAIC, Springfield, VA, USA","institution_ids":[]},{"raw_affiliation_string":"SAIC, GSTI Division, Springfield, VA 22150, USA","institution_ids":["https://openalex.org/I880747138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028006904","display_name":"Dale D. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I880747138","display_name":"Science Applications International Corporation (United States)","ror":"https://ror.org/00zv91802","country_code":"US","type":"company","lineage":["https://openalex.org/I880747138"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dale D. Miller","raw_affiliation_strings":["GSTI Division, SAIC, Seattle, WA, USA","SAIC, GSTI Division, Seattle, WA 98103, USA"],"affiliations":[{"raw_affiliation_string":"GSTI Division, SAIC, Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"SAIC, GSTI Division, Seattle, WA 98103, USA","institution_ids":["https://openalex.org/I880747138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100368903"],"corresponding_institution_ids":["https://openalex.org/I880747138"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06520897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1848","last_page":"1854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.8097724318504333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7977859973907471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7954035401344299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710950970649719},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6075019240379333},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5617384314537048},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5386035442352295},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5284373760223389},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5031353831291199},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5002167224884033},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48247531056404114},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.43531960248947144},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41869762539863586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10748201608657837},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08701932430267334}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.8097724318504333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7977859973907471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7954035401344299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710950970649719},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6075019240379333},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5617384314537048},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5386035442352295},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5284373760223389},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5031353831291199},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5002167224884033},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48247531056404114},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.43531960248947144},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41869762539863586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10748201608657837},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08701932430267334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2009.5457507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1497617594","https://openalex.org/W1528789833","https://openalex.org/W1781337833","https://openalex.org/W1979846720","https://openalex.org/W2033819227","https://openalex.org/W2050405342","https://openalex.org/W2064381770","https://openalex.org/W2106364358","https://openalex.org/W2109635530","https://openalex.org/W2111137905","https://openalex.org/W2113243634","https://openalex.org/W2132055825","https://openalex.org/W2143233860","https://openalex.org/W2151103935","https://openalex.org/W2156116778","https://openalex.org/W2160014001","https://openalex.org/W2160341214","https://openalex.org/W2167085613","https://openalex.org/W2167716896","https://openalex.org/W3146082297","https://openalex.org/W6629571102","https://openalex.org/W6638137768","https://openalex.org/W6666624097"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2120981610","https://openalex.org/W2007664797","https://openalex.org/W3129669851","https://openalex.org/W2360759360","https://openalex.org/W2065064759","https://openalex.org/W3196005494","https://openalex.org/W2799097543"],"abstract_inverted_index":{"Detailed":[0],"geometric":[1,25],"modeling":[2,26],"from":[3,27,104],"images":[4,40,62],"is":[5],"very":[6],"important":[7],"but":[8],"extremely":[9],"complex":[10],"and":[11,35,63,68,75,86,102],"computationally":[12],"expensive.":[13],"In":[14,29,88],"this":[15],"paper":[16],"we":[17,33,91],"present":[18],"an":[19,71],"algorithm":[20,124],"for":[21,127],"large-scale":[22],"urban":[23],"terrestrial":[24],"videos.":[28],"the":[30,37,43,46,49,60,93,105,122],"proposed":[31,123],"approach,":[32],"classify":[34],"segment":[36],"contents":[38],"of":[39,51,59,99,114,135],"based":[41],"on":[42,112],"knowledge":[44],"about":[45],"scene.":[47],"Then":[48],"segments":[50,58],"each":[52],"image":[53],"are":[54],"aligned":[55],"to":[56,78],"similar":[57],"consecutive":[61],"warped":[64],"accordingly.":[65],"The":[66],"alignment":[67],"warping":[69],"provide":[70],"overall":[72],"image-to-image":[73],"matching":[74,83],"allow":[76],"us":[77],"achieve":[79],"refined":[80],"dense":[81,94],"pixel":[82],"more":[84],"efficiently":[85],"reliably.":[87],"our":[89],"experiment,":[90],"reconstruct":[92],"three-dimensional":[95],"(3D)":[96],"point":[97],"cloud":[98],"a":[100,109,115],"street":[101],"buildings":[103],"video":[106],"captured":[107],"by":[108],"camera":[110],"mounted":[111],"top":[113],"vehicle.":[116],"Our":[117],"experimental":[118],"results":[119],"demonstrate":[120],"that":[121,133],"works":[125],"effectively":[126],"difficult":[128],"scenes":[129],"such":[130],"as":[131],"objects":[132],"lack":[134],"texture":[136],"or":[137],"under":[138],"unfriendly":[139],"lighting":[140],"conditions.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}