{"id":"https://openalex.org/W1966541300","doi":"https://doi.org/10.1145/2683483.2683536","title":"Top Down Approach to Detect Multiple Planes from Pair of Images","display_name":"Top Down Approach to Detect Multiple Planes from Pair of Images","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W1966541300","doi":"https://doi.org/10.1145/2683483.2683536","mag":"1966541300"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","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/A5103023794","display_name":"Prateek Singhal","orcid":"https://orcid.org/0000-0002-8776-0090"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prateek Singhal","raw_affiliation_strings":["Robotics Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973708","display_name":"Aditya Deshpande","orcid":"https://orcid.org/0000-0002-9319-8356"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Deshpande","raw_affiliation_strings":["CVIT, IIIT Hyderabad, India","CVIT IIIT, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVIT, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"CVIT IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090944040","display_name":"Harit Pandya","orcid":"https://orcid.org/0000-0002-3842-1949"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harit Pandya","raw_affiliation_strings":["Robotics Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113804417","display_name":"N. Dinesh Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Dinesh Reddy","raw_affiliation_strings":["Robotics Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075816776","display_name":"K. Madhava Krishna","orcid":"https://orcid.org/0000-0001-7846-7901"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Madhava Krishna","raw_affiliation_strings":["Robotics Research Center, IIIT Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Research Center, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.04752268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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":0.7635147571563721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6710824966430664},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5963500142097473},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5547046065330505},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5266773104667664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5097915530204773},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.4977855682373047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45553162693977356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4268166124820709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23530223965644836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18157479166984558}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7635147571563721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710824966430664},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5963500142097473},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5547046065330505},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5266773104667664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5097915530204773},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.4977855682373047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45553162693977356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4268166124820709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23530223965644836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18157479166984558},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1519594923","https://openalex.org/W1530975072","https://openalex.org/W1544270700","https://openalex.org/W1965086061","https://openalex.org/W1984093092","https://openalex.org/W2038376816","https://openalex.org/W2065892333","https://openalex.org/W2099295295","https://openalex.org/W2100993594","https://openalex.org/W2140789035","https://openalex.org/W2150722677","https://openalex.org/W2152571752","https://openalex.org/W2154201540","https://openalex.org/W2158340552","https://openalex.org/W2160637714","https://openalex.org/W2534523274","https://openalex.org/W6674981553","https://openalex.org/W6675106332"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2050662190","https://openalex.org/W2382112581","https://openalex.org/W1997252062","https://openalex.org/W2560215812","https://openalex.org/W3124036233","https://openalex.org/W4229787472","https://openalex.org/W3211385606"],"abstract_inverted_index":{"Detecting":[0],"multiple":[1,33,36,45,57,63],"planes":[2],"in":[3,55,166],"images":[4],"is":[5],"a":[6,27],"challenging":[7,163],"problem,":[8],"but":[9],"one":[10,97],"with":[11,185],"many":[12],"applications.":[13],"Recent":[14],"work":[15],"such":[16,112],"as":[17,101,113,132],"J-Linkage":[18],"and":[19,75,126,136,148,161],"Ordered":[20],"Residual":[21],"Kernels":[22],"have":[23],"focussed":[24],"on":[25,93,156,171],"developing":[26],"domain":[28],"independent":[29],"approach":[30],"to":[31,77,82,99,122,142,182,188],"detect":[32],"structures.":[34],"These":[35,87],"structure":[37],"detection":[38,180],"methods":[39,70,88],"are":[40],"then":[41],"used":[42],"for":[43,103],"estimating":[44],"homographies":[46,58],"given":[47],"feature":[48],"matches":[49],"between":[50],"two":[51],"images.":[52],"Features":[53],"participating":[54],"the":[56,62,83,130,172,175],"detected,":[59],"provide":[60,71],"us":[61],"scene":[64,85],"planes.":[65,86],"We":[66,128,153],"show":[67,154],"that":[68],"these":[69],"locally":[72],"optimal":[73],"results":[74,155],"fail":[76],"merge":[78],"detected":[79],"planar":[80],"patches":[81],"true":[84],"use":[89,137],"only":[90],"residues":[91],"obtained":[92],"applying":[94],"homography":[95],"of":[96,116,177],"plane":[98,179],"another":[100],"cue":[102],"merging.":[104,127],"In":[105],"this":[106],"paper,":[107],"we":[108],"develop":[109],"additional":[110],"cues":[111],"local":[114,118],"consistency":[115],"planes,":[117],"normals,":[119],"texture":[120],"etc.":[121],"perform":[123],"better":[124],"classification":[125,131],"formulate":[129],"an":[133],"MRF":[134],"problem":[135],"TRWS":[138],"message":[139],"passing":[140],"algorithm":[141],"solve":[143],"non":[144],"metric":[145],"energy":[146],"terms":[147],"complex":[149],"sparse":[150],"graph":[151],"structure.":[152],"Michigan":[157],"Indoor":[158],"Corridor":[159],"Dataset":[160],"our":[162,178],"dataset,":[164],"common":[165],"robotics":[167],"navigation":[168],"scenarios.":[169],"Experiments":[170],"datasets":[173],"demonstrate":[174],"accuracy":[176],"relative":[181],"ground":[183],"truth,":[184],"detailed":[186],"comparisons":[187],"prior":[189],"art.":[190]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
