{"id":"https://openalex.org/W2973012358","doi":"https://doi.org/10.1177/0278364919881205","title":"Transforming multiple visual surveys of a natural environment into time-lapses","display_name":"Transforming multiple visual surveys of a natural environment into time-lapses","publication_year":2019,"publication_date":"2019-11-04","ids":{"openalex":"https://openalex.org/W2973012358","doi":"https://doi.org/10.1177/0278364919881205","mag":"2973012358"},"language":"en","primary_location":{"id":"doi:10.1177/0278364919881205","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0278364919881205","pdf_url":null,"source":{"id":"https://openalex.org/S73484101","display_name":"The International Journal of Robotics Research","issn_l":"0278-3649","issn":["0278-3649","1741-3176"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of Robotics Research","raw_type":"journal-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/A5061739678","display_name":"Shane Griffith","orcid":"https://orcid.org/0000-0003-4215-4537"},"institutions":[{"id":"https://openalex.org/I1288283403","display_name":"Georgia Tech Lorraine","ror":"https://ror.org/02m5dy175","country_code":"FR","type":"education","lineage":["https://openalex.org/I1288283403"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["FR","US"],"is_corresponding":true,"raw_author_name":"Shane Griffith","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","GeorgiaTech Lorraine, Metz, France"],"raw_orcid":"https://orcid.org/0000-0003-4215-4537","affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"GeorgiaTech Lorraine, Metz, France","institution_ids":["https://openalex.org/I1288283403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087336025","display_name":"Frank Dellaert","orcid":"https://orcid.org/0000-0002-5532-3566"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Dellaert","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045309524","display_name":"C\u00e9dric Pradalier","orcid":"https://orcid.org/0000-0002-1746-2733"},"institutions":[{"id":"https://openalex.org/I1288283403","display_name":"Georgia Tech Lorraine","ror":"https://ror.org/02m5dy175","country_code":"FR","type":"education","lineage":["https://openalex.org/I1288283403"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Pradalier","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","GeorgiaTech Lorraine, Metz, France"],"raw_orcid":"https://orcid.org/0000-0002-1746-2733","affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"GeorgiaTech Lorraine, Metz, France","institution_ids":["https://openalex.org/I1288283403"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061739678"],"corresponding_institution_ids":["https://openalex.org/I1288283403","https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.8381,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93324607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"39","issue":"1","first_page":"100","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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":0.6579282879829407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6496304869651794},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6126763224601746},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6017064452171326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5750152468681335},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44798120856285095}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6579282879829407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496304869651794},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6126763224601746},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6017064452171326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5750152468681335},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44798120856285095},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0278364919881205","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0278364919881205","pdf_url":null,"source":{"id":"https://openalex.org/S73484101","display_name":"The International Journal of Robotics Research","issn_l":"0278-3649","issn":["0278-3649","1741-3176"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of Robotics Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W8177059","https://openalex.org/W612478963","https://openalex.org/W1532257412","https://openalex.org/W1566405224","https://openalex.org/W1574773379","https://openalex.org/W1588649053","https://openalex.org/W1875235752","https://openalex.org/W1911794792","https://openalex.org/W1926639317","https://openalex.org/W1968315983","https://openalex.org/W1989484209","https://openalex.org/W1990884907","https://openalex.org/W1996066580","https://openalex.org/W1997452381","https://openalex.org/W1999399477","https://openalex.org/W2000586542","https://openalex.org/W2003919215","https://openalex.org/W2011767579","https://openalex.org/W2016356382","https://openalex.org/W2030987944","https://openalex.org/W2042718506","https://openalex.org/W2046918204","https://openalex.org/W2050314576","https://openalex.org/W2055904838","https://openalex.org/W2062858132","https://openalex.org/W2066713014","https://openalex.org/W2080486046","https://openalex.org/W2090518410","https://openalex.org/W2096169321","https://openalex.org/W2109271936","https://openalex.org/W2110405746","https://openalex.org/W2113685147","https://openalex.org/W2124861766","https://openalex.org/W2127824950","https://openalex.org/W2129000642","https://openalex.org/W2131846894","https://openalex.org/W2144824356","https://openalex.org/W2151005018","https://openalex.org/W2151103935","https://openalex.org/W2153664760","https://openalex.org/W2154231454","https://openalex.org/W2182229738","https://openalex.org/W2200124539","https://openalex.org/W2209001132","https://openalex.org/W2284029970","https://openalex.org/W2296428857","https://openalex.org/W2361494151","https://openalex.org/W2461937780","https://openalex.org/W2474531669","https://openalex.org/W2495361718","https://openalex.org/W2539881804","https://openalex.org/W2593948489","https://openalex.org/W2602247401","https://openalex.org/W2609368314","https://openalex.org/W2612537903","https://openalex.org/W2612972698","https://openalex.org/W2744874208","https://openalex.org/W2754274770","https://openalex.org/W2789510920","https://openalex.org/W2885652903","https://openalex.org/W2892399634","https://openalex.org/W2894487329","https://openalex.org/W2905090914","https://openalex.org/W2912965286","https://openalex.org/W2963604511","https://openalex.org/W2964141676","https://openalex.org/W2964164560","https://openalex.org/W2982190091","https://openalex.org/W2990138404","https://openalex.org/W2997164612","https://openalex.org/W3124420883","https://openalex.org/W4242073862","https://openalex.org/W4246999471","https://openalex.org/W4247924304","https://openalex.org/W4256361765","https://openalex.org/W4288938549","https://openalex.org/W4365800070","https://openalex.org/W4365806376"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,74],"article":[1],"presents":[2],"a":[3,12,28,35,49,59,147,181],"new":[4],"framework":[5,75,114,150],"to":[6,26,65,94,107,127,220],"help":[7],"transform":[8],"visual":[9,44],"surveys":[10,178],"of":[11,51,112,130,159,190,208],"natural":[13],"environment":[14,163],"into":[15],"time-lapses.":[16,109],"As":[17],"data":[18,45],"association":[19],"across":[20,176],"year-long":[21,128],"variation":[22,123],"in":[23,87,91,124,167,180],"appearance":[24],"continues":[25],"represent":[27],"formidable":[29],"challenge,":[30],"we":[31,171,203],"present":[32],"success":[33],"with":[34,136],"map-centric":[36],"approach,":[37],"which":[38,120,195],"builds":[39],"on":[40,115,140],"3D":[41],"vision":[42],"for":[43],"association.":[46],"We":[47],"use":[48],"foundation":[50],"map":[52,216],"point":[53,144],"priors":[54],"and":[55,68,90,153,212],"geometric":[56],"constraints":[57],"within":[58],"dense":[60],"correspondence":[61],"image":[62,169,210],"alignment":[63],"optimization":[64],"align":[66],"images":[67],"acquire":[69],"loop":[70,78,83],"closures":[71,79,84],"between":[72,80],"surveys.":[73],"produces":[76],"many":[77,131,157],"sessions.":[81],"Outlier":[82],"are":[85],"filtered":[86],"the":[88,92,98,101,116,160,205],"frontend":[89],"backend":[93],"improve":[95],"robustness.":[96],"From":[97],"result":[99],"map,":[100],"Reprojection":[102],"Flow":[103],"algorithm":[104],"is":[105],"applied":[106],"create":[108],"The":[110],"evaluation":[111],"our":[113,149],"Symphony":[117],"Lake":[118],"Dataset,":[119],"has":[121],"considerable":[122],"appearance,":[125],"led":[126],"time-lapses":[129,175],"different":[132],"scenes.":[133],"In":[134],"comparison":[135],"another":[137],"approach":[138],"based":[139],"using":[141],"iterative":[142],"closest":[143],"(ICP)":[145],"plus":[146],"homography,":[148],"produced":[151,173],"more":[152],"better-quality":[154],"alignments.":[155],"With":[156,200],"scenes":[158],"1.3":[161],"km":[162],"consistently":[164],"aligning":[165],"well":[166],"random":[168],"pairs,":[170],"next":[172],"100":[174],"37":[177],"captured":[179],"year.":[182],"Approximately":[183],"one-third":[184],"had":[185],"at":[186],"least":[187],"20":[188],"(out":[189],"usually":[191],"33)":[192],"well-aligned":[193],"images,":[194],"spanned":[196],"all":[197],"four":[198],"seasons.":[199],"promising":[201],"results,":[202],"evaluated":[204],"pose":[206],"error":[207],"misaligned":[209],"pairs":[211],"found":[213],"that":[214],"improving":[215],"consistency":[217],"could":[218],"lead":[219],"even":[221],"better":[222],"results.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
