{"id":"https://openalex.org/W2766814309","doi":"https://doi.org/10.1145/3123266.3123348","title":"Real-time Monocular Dense Mapping for Augmented Reality","display_name":"Real-time Monocular Dense Mapping for Augmented Reality","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2766814309","doi":"https://doi.org/10.1145/3123266.3123348","mag":"2766814309"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","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/A5043245225","display_name":"Tangli Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangli Xue","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101871631","display_name":"Hongcheng Luo","orcid":"https://orcid.org/0000-0002-0058-3571"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongcheng Luo","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067390019","display_name":"Danpeng Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danpeng Cheng","raw_affiliation_strings":["University of Bridgeport, Bridgeport, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029784526","display_name":"Zikang Yuan","orcid":"https://orcid.org/0000-0003-0066-3325"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Yuan","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088751649","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-6252-1061"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.3093,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98550954,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"510","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/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":0.740483820438385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7302879691123962},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7162763476371765},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.6127035021781921},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6027518510818481},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5689191818237305},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5554105043411255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5003371238708496},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.48644161224365234},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.440608412027359},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4211788773536682},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.4193114638328552},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33970996737480164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23269236087799072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20337095856666565},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11376193165779114},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.08008119463920593},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07012397050857544}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.740483820438385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302879691123962},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7162763476371765},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.6127035021781921},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6027518510818481},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5689191818237305},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5554105043411255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5003371238708496},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.48644161224365234},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.440608412027359},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4211788773536682},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.4193114638328552},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33970996737480164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23269236087799072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20337095856666565},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11376193165779114},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.08008119463920593},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07012397050857544},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123266.3123348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3921190907","display_name":null,"funder_award_id":"61502188.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W194230875","https://openalex.org/W612478963","https://openalex.org/W801273237","https://openalex.org/W1595654559","https://openalex.org/W1612997784","https://openalex.org/W1803059841","https://openalex.org/W1970504153","https://openalex.org/W1999478155","https://openalex.org/W2005107673","https://openalex.org/W2021851106","https://openalex.org/W2021930164","https://openalex.org/W2061637641","https://openalex.org/W2083347703","https://openalex.org/W2085261163","https://openalex.org/W2108134361","https://openalex.org/W2119493293","https://openalex.org/W2140599684","https://openalex.org/W2151290401","https://openalex.org/W2210972093","https://openalex.org/W2300779272","https://openalex.org/W2413819886","https://openalex.org/W2474281075","https://openalex.org/W2949634581","https://openalex.org/W2951234442","https://openalex.org/W3103648783"],"related_works":["https://openalex.org/W4251504644","https://openalex.org/W132764016","https://openalex.org/W3018486819","https://openalex.org/W2980723633","https://openalex.org/W2057035680","https://openalex.org/W1536800557","https://openalex.org/W2544538710","https://openalex.org/W2091392782","https://openalex.org/W2094002035","https://openalex.org/W2165432774"],"abstract_inverted_index":{"Monocular":[0],"simultaneous":[1],"localization":[2],"and":[3,41,54,95,131,151,157,182,188,200,210],"mapping":[4,71],"(SLAM)":[5],"is":[6,89,111,173],"a":[7,64,83,112,155,196,204],"key":[8],"enabling":[9],"technique":[10],"for":[11,20,67,78,86],"many":[12],"augmented":[13],"reality":[14],"(AR)":[15],"applications.":[16],"However,":[17],"conventional":[18],"methods":[19],"monocular":[21,69],"SLAM":[22],"can":[23,45],"obtain":[24],"only":[25],"sparse":[26],"or":[27],"semi-dense":[28,84,128],"maps":[29],"in":[30,39,57,215],"highly-textured":[31,87],"image":[32],"areas.":[33],"Poorly-textured":[34],"regions":[35,88,101],"which":[36,110,122],"widely":[37],"exist":[38],"indoor":[40],"man-made":[42],"urban":[43],"environments":[44],"be":[46],"hardly":[47],"reconstructed,":[48],"impeding":[49],"interactions":[50],"between":[51],"virtual":[52],"objects":[53],"real":[55,197],"scenes":[56],"AR":[58,198],"apps.":[59],"In":[60],"this":[61],"paper,we":[62],"present":[63],"novel":[65],"method":[66,172,179,194,214],"real-time":[68],"dense":[70],"based":[72],"on":[73,163],"the":[74,126,132,141,177,208],"piecewise":[75,119],"planarity":[76],"assumption":[77],"poorly":[79],"textured":[80],"regions.":[81],"Specifically,":[82],"map":[85],"first":[90],"calculated":[91],"by":[92,103,125],"pixel":[93],"matching":[94],"triangulation":[96],"[6,":[97],"7].":[98],"Large":[99],"textureless":[100],"extracted":[102],"Maximally":[104],"Stable":[105],"Color":[106],"Regions":[107],"(MSCR)":[108],"[11],":[109],"homogeneous-color":[113],"region":[114],"detector,":[115],"are":[116,123,149],"approximated":[117],"using":[118],"planar":[120],"models":[121,138],"estimated":[124],"corresponding":[127],"3D":[129,143,159],"points":[130],"proposed":[133],"multi-plane":[134],"segmentation":[135],"algorithm.":[136],"Plane":[137],"associated":[139],"with":[140,203],"same":[142],"area":[144],"across":[145],"multiple":[146],"overlapping":[147],"views":[148],"linked":[150],"fused":[152],"to":[153,195],"ensure":[154],"consistent":[156],"accurate":[158],"reconstruction.":[160],"Experimental":[161],"results":[162],"two":[164],"public":[165],"datasets":[166],"[15,":[167],"23]":[168],"demonstrate":[169,207],"that":[170],"our":[171,193,213],"2.3X~2.9X":[174],"faster":[175],"than":[176],"state-of-the-art":[178],"DPPTAM":[180],"[2],":[181],"meanwhile":[183],"achieves":[184],"better":[185],"reconstruction":[186],"accuracy":[187],"completeness.":[189],"We":[190],"also":[191],"apply":[192],"application":[199],"live":[201],"experiments":[202],"hand-held":[205],"camera":[206],"effectiveness":[209],"efficiency":[211],"of":[212],"practical":[216],"scenario.":[217]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}