{"id":"https://openalex.org/W2005670639","doi":"https://doi.org/10.1109/robio.2014.7090443","title":"Initial pose estimation using cross-section contours","display_name":"Initial pose estimation using cross-section contours","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2005670639","doi":"https://doi.org/10.1109/robio.2014.7090443","mag":"2005670639"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2014.7090443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090443","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 Biomimetics (ROBIO 2014)","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/A5004533680","display_name":"Ernest Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ernest C. H. Cheung","raw_affiliation_strings":["University of Hong Kong, Hong Kong, HK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, HK","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cao Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cao Chao","raw_affiliation_strings":["An undergraduate student at HKU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"An undergraduate student at HKU","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028285158","display_name":"Wyatt S. Newman","orcid":"https://orcid.org/0000-0001-6489-9164"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wyatt S. Newman","raw_affiliation_strings":["EECS Dept, Case Western Reserve University, Cleveland, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Dept, Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2068,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98210122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"878","last_page":"883"},"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/T10586","display_name":"Robotic Path Planning Algorithms","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/T12549","display_name":"Image and Object Detection Techniques","score":0.9966999888420105,"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/initialization","display_name":"Initialization","score":0.8723188042640686},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7601260542869568},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7562714219093323},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.6631996035575867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6441627740859985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239539384841919},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.6142222881317139},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5986566543579102},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.5781774520874023},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5691612362861633},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5110775232315063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46189606189727783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28602805733680725},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2320118248462677},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1184823215007782}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8723188042640686},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7601260542869568},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7562714219093323},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.6631996035575867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6441627740859985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239539384841919},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.6142222881317139},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5986566543579102},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.5781774520874023},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5691612362861633},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5110775232315063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46189606189727783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28602805733680725},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2320118248462677},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1184823215007782},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2014.7090443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090443","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 Biomimetics (ROBIO 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1977216098","https://openalex.org/W2032211017","https://openalex.org/W2049981393","https://openalex.org/W2067735405","https://openalex.org/W2083624955","https://openalex.org/W2119851068","https://openalex.org/W2160821342","https://openalex.org/W2170208355","https://openalex.org/W2901136733"],"related_works":["https://openalex.org/W2908649049","https://openalex.org/W4320086129","https://openalex.org/W2813834476","https://openalex.org/W3016861202","https://openalex.org/W4391129294","https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2088028039","https://openalex.org/W2228459732"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,29,34],"means":[4,89],"to":[5,52,90],"approximate":[6],"an":[7,78,87],"object's":[8],"pose,":[9],"suitable":[10],"for":[11,32],"initialization":[12],"of":[13,21,38,73],"the":[14,47],"Iterative":[15],"Closest":[16],"Point":[17],"algorithm.":[18],"The":[19,83],"class":[20],"problems":[22],"considered":[23],"is":[24,50,62],"objects":[25],"lying":[26],"stably":[27],"on":[28],"planar":[30],"surface,":[31],"which":[33],"relatively":[35,65],"small":[36],"number":[37],"pose":[39,45],"types":[40],"are":[41,81],"possible.":[42],"Within":[43],"each":[44],"type,":[46],"registration":[48],"problem":[49],"reduced":[51],"3":[53],"dimensions.":[54],"Using":[55],"contours":[56],"computed":[57],"from":[58],"horizontal":[59],"slices,":[60],"it":[61],"shown":[63],"that":[64],"noisy":[66],"point-cloud":[67,92],"samples":[68],"can":[69],"yield":[70],"good":[71],"estimates":[72],"pose.":[74],"Experimental":[75],"results":[76],"using":[77],"Atlas":[79],"robot":[80],"presented.":[82],"proposed":[84],"method":[85],"offers":[86],"efficient":[88],"initialize":[91],"fitting,":[93],"resulting":[94],"in":[95],"faster,":[96],"more":[97],"reliable":[98],"convergence.":[99]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
