{"id":"https://openalex.org/W2055255836","doi":"https://doi.org/10.1109/icra.2014.6907779","title":"Hierarchical sparse coded surface models","display_name":"Hierarchical sparse coded surface models","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2055255836","doi":"https://doi.org/10.1109/icra.2014.6907779","mag":"2055255836"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2014.6907779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","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/A5076560318","display_name":"Michael Ruhnke","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Ruhnke","raw_affiliation_strings":["Autonomous Systems Lab, University of Freiburg"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems Lab, University of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085032007","display_name":"Liefeng Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liefeng Bo","raw_affiliation_strings":["Intel Science and Technology Center for Pervasive Computing (ISTC-PC)"],"affiliations":[{"raw_affiliation_string":"Intel Science and Technology Center for Pervasive Computing (ISTC-PC)","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108257764","display_name":"Dieter Fox","orcid":"https://orcid.org/0009-0009-4694-9127"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dieter Fox","raw_affiliation_strings":["Robotics and State Estimation Lab, University of Washington"],"affiliations":[{"raw_affiliation_string":"Robotics and State Estimation Lab, University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084499878","display_name":"Wolfram Burgard","orcid":"https://orcid.org/0000-0002-5680-6500"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfram Burgard","raw_affiliation_strings":["Autonomous Systems Lab, University of Freiburg"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems Lab, University of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076560318"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":0.9461,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74552521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"6238","last_page":"6243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7092504501342773},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.696627676486969},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5555103421211243},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.555436372756958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542479395866394},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.507719874382019},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49750831723213196},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4872261583805084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4853023886680603},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4765349328517914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1855563223361969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092504501342773},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.696627676486969},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5555103421211243},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.555436372756958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542479395866394},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.507719874382019},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49750831723213196},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4872261583805084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4853023886680603},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4765349328517914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1855563223361969},{"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2014.6907779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W825979034","https://openalex.org/W1187244281","https://openalex.org/W1573897183","https://openalex.org/W1974496764","https://openalex.org/W1987648924","https://openalex.org/W1993095151","https://openalex.org/W2006603500","https://openalex.org/W2009422376","https://openalex.org/W2010806162","https://openalex.org/W2021851106","https://openalex.org/W2050256614","https://openalex.org/W2097018403","https://openalex.org/W2099321050","https://openalex.org/W2105464873","https://openalex.org/W2126683262","https://openalex.org/W2143996311","https://openalex.org/W2153663612","https://openalex.org/W2167724667","https://openalex.org/W2498840900","https://openalex.org/W6627862999","https://openalex.org/W6634595133","https://openalex.org/W6674642818"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2065031478"],"abstract_inverted_index":{"In":[0,96,112],"this":[1,113],"paper,":[2],"we":[3,98,115],"describe":[4,100],"a":[5,15,46],"novel":[6],"approach":[7],"to":[8,24,32,61,66,75,125],"construct":[9],"textured":[10],"3D":[11],"environment":[12,35],"models":[13,78],"in":[14,53,119,142,145,167],"hierarchical":[16],"fashion":[17,56],"based":[18,107],"on":[19,108],"local":[20,101],"surface":[21,39,102],"patches.":[22,40],"Compared":[23],"previous":[25],"approaches,":[26],"the":[27,34,58,63,68,130,134,143],"hierarchy":[28,144],"enables":[29],"our":[30,156],"method":[31,157],"represent":[33,80],"with":[36,49,82,90,151,160],"differently":[37],"sized":[38],"The":[41],"reconstruction":[42,59],"scheme":[43],"starts":[44],"at":[45,85,93],"coarse":[47],"resolution":[48,69,77,87],"large":[50,91],"patches":[51],"and":[52,88,121,137],"an":[54,109,146],"iterative":[55],"uses":[57],"error":[60],"guide":[62],"decision":[64],"as":[65],"whether":[67],"should":[70],"be":[71],"refined.":[72],"This":[73],"leads":[74,124],"variable":[76],"that":[79,155],"areas":[81,89],"few":[83],"variations":[84,92],"low":[86],"high":[94],"resolution.":[95],"addition,":[97],"compactly":[99],"attributes":[103],"via":[104],"sparse":[105],"coding":[106],"overcomplete":[110],"dictionary.":[111],"way,":[114],"additionally":[116],"exploit":[117],"similarities":[118],"structure":[120],"texture,":[122],"which":[123],"compact":[126],"models.":[127],"We":[128],"learn":[129],"dictionary":[131],"directly":[132],"from":[133],"input":[135],"data":[136],"independently":[138],"for":[139],"every":[140],"level":[141],"unsupervised":[147],"fashion.":[148],"Practical":[149],"experiments":[150],"large-scale":[152],"datasets":[153],"demonstrate":[154],"compares":[158],"favorably":[159],"two":[161],"state-of-the-art":[162],"techniques":[163],"while":[164],"being":[165],"comparable":[166],"accuracy.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}