{"id":"https://openalex.org/W1989310712","doi":"https://doi.org/10.1109/iros.2014.6942637","title":"Omnidirectional 3D reconstruction in augmented Manhattan worlds","display_name":"Omnidirectional 3D reconstruction in augmented Manhattan worlds","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1989310712","doi":"https://doi.org/10.1109/iros.2014.6942637","mag":"1989310712"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2014.6942637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5029301748","display_name":"Miriam Sch\u00f6nbein","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Miriam Schonbein","raw_affiliation_strings":["Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016606943","display_name":"Andreas Geiger","orcid":"https://orcid.org/0000-0002-8151-3726"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]},{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Geiger","raw_affiliation_strings":["Perceiving Systems Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Perceiving Systems Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]},{"raw_affiliation_string":"Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society","institution_ids":["https://openalex.org/I4210135521","https://openalex.org/I149899117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029301748"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":3.6581,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.94455141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":null,"first_page":"716","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.8433823585510254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7396178841590881},{"id":"https://openalex.org/keywords/catadioptric-system","display_name":"Catadioptric system","score":0.7020444869995117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6833820939064026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606300413608551},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.46713948249816895},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.467013418674469},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4577774405479431},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4419462978839874},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4341508448123932},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.20139706134796143},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16412386298179626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14788475632667542},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10171917080879211},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.09098535776138306}],"concepts":[{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.8433823585510254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396178841590881},{"id":"https://openalex.org/C153396827","wikidata":"https://www.wikidata.org/wiki/Q1142960","display_name":"Catadioptric system","level":3,"score":0.7020444869995117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6833820939064026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606300413608551},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.46713948249816895},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.467013418674469},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4577774405479431},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4419462978839874},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4341508448123932},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.20139706134796143},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16412386298179626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14788475632667542},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10171917080879211},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.09098535776138306},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2014.6942637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W114196952","https://openalex.org/W165571211","https://openalex.org/W1481823314","https://openalex.org/W1485649967","https://openalex.org/W1488482743","https://openalex.org/W1498813999","https://openalex.org/W1532362218","https://openalex.org/W1581235021","https://openalex.org/W1597348563","https://openalex.org/W1985940570","https://openalex.org/W1988126250","https://openalex.org/W2007139619","https://openalex.org/W2019085623","https://openalex.org/W2026853674","https://openalex.org/W2044542697","https://openalex.org/W2099353192","https://openalex.org/W2100540138","https://openalex.org/W2101072326","https://openalex.org/W2103031616","https://openalex.org/W2111161343","https://openalex.org/W2117248802","https://openalex.org/W2120664169","https://openalex.org/W2121470318","https://openalex.org/W2128086777","https://openalex.org/W2128762082","https://openalex.org/W2131241448","https://openalex.org/W2135887870","https://openalex.org/W2136076453","https://openalex.org/W2136527382","https://openalex.org/W2137097255","https://openalex.org/W2138600868","https://openalex.org/W2144042618","https://openalex.org/W2144506857","https://openalex.org/W2146535213","https://openalex.org/W2150066425","https://openalex.org/W2152185620","https://openalex.org/W2160744013","https://openalex.org/W2162302809","https://openalex.org/W2168676389","https://openalex.org/W2206398890","https://openalex.org/W2505763307","https://openalex.org/W2536043048","https://openalex.org/W3145547920","https://openalex.org/W6628796103","https://openalex.org/W6628955725","https://openalex.org/W6629283804","https://openalex.org/W6629629270","https://openalex.org/W6675442679","https://openalex.org/W6676664992","https://openalex.org/W6682725603","https://openalex.org/W6683768782"],"related_works":["https://openalex.org/W2028580364","https://openalex.org/W1999750285","https://openalex.org/W2353925983","https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W2123060531","https://openalex.org/W3028153461","https://openalex.org/W2088205157","https://openalex.org/W1959212205"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,41,88,105,127,182],"method":[4,102,145,165],"for":[5,92,132],"high-quality":[6],"omnidirectional":[7,43,67,75,96],"3D":[8,59,93],"reconstruction":[9],"of":[10,185],"augmented":[11],"Manhattan":[12],"worlds":[13],"from":[14,148],"catadioptric":[15,124],"stereo":[16,156],"video":[17],"sequences.":[18],"In":[19],"contrast":[20],"to":[21,36,63,168],"existing":[22,155],"works":[23],"we":[24,46,72,103,108,118],"do":[25,60],"not":[26,61],"rely":[27],"on":[28,83],"constructing":[29],"virtual":[30],"perspective":[31],"views,":[32],"but":[33],"instead":[34],"propose":[35,73],"optimize":[37],"depth":[38,136,174],"jointly":[39],"in":[40,58,65,95],"unified":[42,150],"space.":[44,97],"Furthermore,":[45,163],"show":[47],"that":[48],"plane-based":[49],"prior":[50],"models":[51],"can":[52,176],"be":[53,177],"applied":[54],"even":[55],"though":[56],"planes":[57,64,94],"project":[62],"the":[66,143,149,172],"domain.":[68],"Towards":[69],"this":[70],"goal,":[71],"an":[74],"slanted-plane":[76],"Markov":[77],"random":[78],"field":[79],"model":[80],"which":[81,107,117],"relies":[82],"plane":[84,189],"hypotheses":[85],"extracted":[86],"using":[87,111],"novel":[89],"voting":[90],"scheme":[91],"To":[98],"quantitatively":[99,160],"evaluate":[100],"our":[101,112,141,164],"introduce":[104],"dataset":[106],"have":[109],"captured":[110],"autonomous":[113],"driving":[114],"platform":[115],"AnnieWAY":[116],"equipped":[119],"with":[120],"two":[121],"horizontally":[122],"aligned":[123],"cameras":[125],"and":[126,152,161,171,188],"Velodyne":[128],"HDL-64E":[129],"laser":[130],"scanner":[131],"precise":[133],"ground":[134],"truth":[135],"measurements.":[137],"As":[138],"evidenced":[139],"by":[140,181],"experiments,":[142],"proposed":[144],"clearly":[146],"benefits":[147],"view":[151],"significantly":[153],"outperforms":[154],"matching":[157],"techniques":[158],"both":[159],"qualitatively.":[162],"is":[166],"able":[167],"reduce":[169],"noise":[170],"obtained":[173],"maps":[175],"represented":[178],"very":[179],"compactly":[180],"small":[183],"number":[184],"image":[186],"segments":[187],"parameters.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
