{"id":"https://openalex.org/W7163209841","doi":"https://doi.org/10.48550/arxiv.2606.01367","title":"ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo","display_name":"ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7163209841","doi":"https://doi.org/10.48550/arxiv.2606.01367"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01367","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004668645","display_name":"Guo Pu","orcid":"https://orcid.org/0000-0001-7833-907X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu, Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137698341","display_name":"Yixuan Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Yixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137682198","display_name":"Zhouhui Lian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lian, Zhouhui","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":false,"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":0.3889999985694885,"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":0.3889999985694885,"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":0.3725999891757965,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.07890000194311142,"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/monocular","display_name":"Monocular","score":0.829800009727478},{"id":"https://openalex.org/keywords/active-vision","display_name":"Active vision","score":0.5440000295639038},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.43290001153945923},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4099999964237213},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.40880000591278076},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.40779998898506165},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.40220001339912415},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.39980000257492065},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.829800009727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7613000273704529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246999740600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995000243186951},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.5440000295639038},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.43290001153945923},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.2928999960422516},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.28110000491142273},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01367","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"doi:10.48550/arxiv.2606.01367","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49433302879333496}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Active":[0],"scene":[1,61],"reconstruction":[2,21,62],"enables":[3,129],"robots/UAVs":[4,80,131],"to":[5,68,116,132],"autonomously":[6],"plan":[7],"trajectories":[8],"and":[9,45,66,155],"reconstruct":[10],"environments":[11],"without":[12],"costly":[13],"manual":[14],"data":[15,156],"acquisition.":[16],"Unlike":[17],"passive":[18],"methods,":[19],"active":[20,94],"requires":[22],"real-time":[23],"construction":[24,103],"of":[25,121],"high-confidence":[26],"occupancy":[27,39,135],"maps":[28,136],"for":[29,38,53,79,92,104,137],"collision-free":[30],"navigation.":[31,81],"Existing":[32],"approaches":[33],"rely":[34],"on":[35,144],"depth":[36,73,108,114,126],"sensors":[37],"map":[40],"updates,":[41],"increasing":[42],"platform":[43],"cost":[44],"weight.":[46],"To":[47,82],"advance":[48],"spatial":[49],"intelligence,":[50],"we":[51,86],"aim":[52],"a":[54,99,112],"vision-only":[55],"monocular":[56,60,93,130],"solution.":[57],"However,":[58],"current":[59],"methods":[63],"operate":[64],"offline":[65],"fail":[67],"deliver":[69],"globally":[70,123],"consistent":[71,124],"dense":[72,125],"at":[74,159],"the":[75,89,118],"frame":[76],"rates":[77],"required":[78],"bridge":[83],"this":[84],"gap,":[85],"introduce":[87],"ActMVS,":[88],"first":[90],"framework":[91,97],"reconstruction.":[95,142],"Our":[96,153],"integrates":[98],"view":[100],"factor":[101],"graph":[102],"informed":[105],"Multi-View":[106],"Stereo":[107],"prediction,":[109],"along":[110],"with":[111,150],"global":[113],"optimization,":[115],"enable":[117],"online":[119],"generation":[120],"high-quality,":[122],"maps.":[127],"This":[128],"maintain":[133],"reliable":[134],"safe":[138],"trajectory":[139],"planning":[140],"during":[141],"Experiments":[143],"Replica":[145],"datasets":[146],"demonstrate":[147],"performance":[148],"competitive":[149],"RGB-D":[151],"methods.":[152],"code":[154],"are":[157],"available":[158],"https://github.com/TrickyGo/ActMVS.":[160]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
