{"id":"https://openalex.org/W4386977599","doi":"https://doi.org/10.48550/arxiv.2309.11883","title":"On-the-Fly SfM: What you capture is What you get","display_name":"On-the-Fly SfM: What you capture is What you get","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4386977599","doi":"https://doi.org/10.48550/arxiv.2309.11883"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2309.11883","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11883","pdf_url":"https://arxiv.org/pdf/2309.11883","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.11883","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027395360","display_name":"Zongqian Zhan","orcid":"https://orcid.org/0000-0002-1324-8430"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan, Zongqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640516","display_name":"Rui Xia","orcid":"https://orcid.org/0000-0003-2710-9367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019812860","display_name":"Yifei Yu","orcid":"https://orcid.org/0000-0003-1442-1781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Yifei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102353257","display_name":"Yibo Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114167803","display_name":"Xin Wang","orcid":"https://orcid.org/0009-0000-1405-5836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9988999962806702,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7571313977241516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7204700708389282},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.6910945773124695},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.6463828086853027},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6078011393547058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6016412973403931},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.5739081501960754},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5659304261207581},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5476514101028442},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4667181372642517},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44678768515586853},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4419117271900177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35078465938568115},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.286338746547699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13969901204109192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571313977241516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7204700708389282},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.6910945773124695},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.6463828086853027},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6078011393547058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6016412973403931},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.5739081501960754},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5659304261207581},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5476514101028442},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4667181372642517},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44678768515586853},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4419117271900177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35078465938568115},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.286338746547699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13969901204109192},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2309.11883","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11883","pdf_url":"https://arxiv.org/pdf/2309.11883","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2309.11883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2309.11883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.11883","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11883","pdf_url":"https://arxiv.org/pdf/2309.11883","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386977599.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2550823067","https://openalex.org/W2805880315","https://openalex.org/W2071638828","https://openalex.org/W2170070567","https://openalex.org/W117099968","https://openalex.org/W184711444","https://openalex.org/W3016388161","https://openalex.org/W2416513692","https://openalex.org/W4365211488","https://openalex.org/W2894859175"],"abstract_inverted_index":{"Over":[0],"the":[1,15,50,63,72,129,159,164],"last":[2],"decades,":[3],"ample":[4],"achievements":[5],"have":[6],"been":[7],"made":[8],"on":[9,49],"Structure":[10],"from":[11],"motion":[12],"(SfM).":[13],"However,":[14],"vast":[16],"majority":[17],"of":[18,105,131,161],"them":[19],"basically":[20],"work":[21],"in":[22,168],"an":[23,54,138,169],"offline":[24],"manner,":[25],"i.e.,":[26,77],"images":[27,165],"are":[28],"firstly":[29,88],"captured":[30],"and":[31,42,75],"then":[32],"fed":[33],"together":[34],"into":[35],"a":[36,90,110],"SfM":[37,59,156],"pipeline":[38],"for":[39,101,148],"obtaining":[40],"poses":[41],"sparse":[43],"point":[44],"cloud.":[45],"In":[46],"this":[47],"work,":[48],"contrary,":[51],"we":[52],"present":[53],"on-the-fly":[55,155],"SfM:":[56],"running":[57],"online":[58,69,170],"while":[60,166],"image":[61,67,103,123],"capturing,":[62],"newly":[64,106,132],"taken":[65],"On-the-Fly":[66],"is":[68,81,94,119,146],"estimated":[70],"with":[71,115],"corresponding":[73],"pose":[74],"points,":[76],"what":[78,82],"you":[79,83],"capture":[80],"get.":[84],"Specifically,":[85],"our":[86],"approach":[87],"employs":[89],"vocabulary":[91],"tree":[92],"that":[93,154],"unsupervised":[95],"trained":[96],"using":[97],"learning-based":[98],"global":[99],"features":[100],"fast":[102],"retrieval":[104],"fly-in":[107,133],"image.":[108],"Then,":[109],"robust":[111],"feature":[112],"matching":[113],"mechanism":[114],"least":[116],"squares":[117],"(LSM)":[118],"presented":[120],"to":[121],"improve":[122],"registration":[124],"performance.":[125],"Finally,":[126],"via":[127],"investigating":[128],"influence":[130],"image's":[134],"connected":[135],"neighboring":[136],"images,":[137],"efficient":[139],"hierarchical":[140],"weighted":[141],"local":[142],"bundle":[143],"adjustment":[144],"(BA)":[145],"used":[147],"optimization.":[149],"Extensive":[150],"experimental":[151],"results":[152],"demonstrate":[153],"can":[157],"meet":[158],"goal":[160],"robustly":[162],"registering":[163],"capturing":[167],"way.":[171]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}